From c8e71d867b4f97c6c1f8cae30e1277294e784278 Mon Sep 17 00:00:00 2001
From: "josue.chinchilla" <josue.chinchilla@IFASadmins-MacBook-Pro.local>
Date: Wed, 13 May 2026 16:39:06 -0400
Subject: [PATCH 01/26] added ped_cleaner module and added .css

---
 .DS_Store               | Bin 6148 -> 14340 bytes
 R/app_server.R          |   6 +-
 R/app_ui.R              |  50 +++-
 R/mod_diversity.R       | 640 ----------------------------------------
 R/mod_ped_cleaner.R     | 427 +++++++++++++++++++++++++++
 app/www/.DS_Store       | Bin 0 -> 6148 bytes
 inst/app/.DS_Store      | Bin 6148 -> 10244 bytes
 inst/app/www/custom.css | 451 ++++++++++++++++++++++++++++
 inst/app/www/custom.js  |  45 +++
 9 files changed, 965 insertions(+), 654 deletions(-)
 delete mode 100644 R/mod_diversity.R
 create mode 100644 R/mod_ped_cleaner.R
 create mode 100644 app/www/.DS_Store
 create mode 100644 inst/app/www/custom.css
 create mode 100644 inst/app/www/custom.js

diff --git a/.DS_Store b/.DS_Store
index 4adddbe29332682b2dacc21050b33b12dd58f336..a3682aa74badf41e294fc33040b3af1b2b7fe28d 100644
GIT binary patch
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diff --git a/R/app_server.R b/R/app_server.R
index f8feabf..d1d7805 100644
--- a/R/app_server.R
+++ b/R/app_server.R
@@ -19,9 +19,9 @@ app_server <- function(input, output, session) {
   callModule(mod_SNMF_server,
              "SNMF_1",
              parent_session = session)
-  callModule(mod_diversity_server,
-             "diversity_1",
-             parent_session = session)
+  mod_ped_cleaner_server(
+    "ped_cleaner_1", 
+    parent_session = session)
 
   # mod_DosageCall_server("DosageCall_1")
   # mod_Filtering_server("Filtering_1")
diff --git a/R/app_ui.R b/R/app_ui.R
index ac7ed54..130b1d4 100644
--- a/R/app_ui.R
+++ b/R/app_ui.R
@@ -12,6 +12,15 @@ app_ui <- function(request) {
   tagList(
     # Leave this function for adding external resources
     golem_add_external_resources(),
+    # Dynamic sidebar color theme — only sets the :root CSS variables
+    # ── Sidebar color theme ──────────────────────────────────────────────────────
+    # Change this value to switch the active sidebar menu item color.
+    # Available options: "azure", "green", "yellow", "grey", "purple", "red"
+    # ─────────────────────────────────────────────────────────────────────────────
+    tags$head(tags$style(HTML(sprintf(
+      ":root { --sidebar-core: var(--%s-core); --sidebar-lite: var(--%s-lite); --sidebar-deep: var(--%s-deep); }",
+      "green", "green", "green"
+    )))),
     # Your application UI logic
     bs4DashPage(
       skin = "black",
@@ -55,13 +64,13 @@ app_ui <- function(request) {
           flat = FALSE,
           tags$li(class = "header", style = "color: grey; margin-top: 10px; margin-bottom: 10px; padding-left: 15px;", "Menu"),
                    menuItem("Home", tabName = "welcome", icon = icon("house"),startExpanded = FALSE),
-          tags$li(class = "header", style = "color: grey; margin-top: 18px; margin-bottom: 10px; padding-left: 15px;", "Unsupervised"),
-                   menuItem("SNMF", tabName = "snmf", icon = icon("list-ol")),
-          tags$li(class = "header", style = "color: grey; margin-top: 18px; margin-bottom: 10px; padding-left: 15px;", "Supervised"),
-                   menuItem("PolyBreedTools", tabName = "polybreedtools", icon = icon("share-from-square")),
-                   menuItem("Genomic Diversity", tabName = "diversity", icon = icon("chart-pie")),
+          tags$li(class = "header", style = "color: grey; margin-top: 18px; margin-bottom: 10px; padding-left: 15px;", "Pedigree & Parentage"),
+                  menuItem("Pedigree Cleaner", tabName = "ped_cleaner", icon = icon("sitemap")),
+          tags$li(class = "header", style = "color: grey; margin-top: 18px; margin-bottom: 10px; padding-left: 15px;", "Breed/Line Composition"),
+                  menuItem(HTML("BreedTools<sup>poly</sup>"), tabName = "polybreedtools", icon = icon("chart-column")),
+                  menuItem("SNMF", tabName = "snmf", icon = icon("list-ol")),
           tags$li(class = "header", style = "color: grey; margin-top: 18px; margin-bottom: 10px; padding-left: 15px;", "Information"),
-          menuItem("Source Code", icon = icon("circle-info"), href = "https://www.github.com/Breeding-Insight/Genomics_Shiny_App"),
+          menuItem("Source Code", icon = icon("circle-info"), href = "https://github.com/Breeding-Insight/familia"),
           #menuItem(
           #  span("Job Queue", bs4Badge("demo", position = "right", color = "warning")),
           #  tabName = "slurm",
@@ -113,13 +122,13 @@ app_ui <- function(request) {
             tabName = "welcome", mod_Home_ui("Home_1")
           ),
           tabItem(
-            tabName = "polybreedtools", mod_polybreedtools_ui("PolyBreedTools_1")
+            tabName = "ped_cleaner", mod_ped_cleaner_ui("ped_cleaner_1")   # ADD THIS
           ),
           tabItem(
-            tabName = "snmf", mod_SNMF_ui("SNMF_1")
+            tabName = "polybreedtools", mod_polybreedtools_ui("PolyBreedTools_1")
           ),
           tabItem(
-            tabName = "diversity", mod_diversity_ui("diversity_1")
+            tabName = "snmf", mod_SNMF_ui("SNMF_1")
           ),
           tabItem(
             tabName = "help", mod_help_ui("help_1")
@@ -143,14 +152,33 @@ golem_add_external_resources <- function() {
     "www",
     app_sys("app/www")
   )
-
+  
   tags$head(
     favicon(),
     bundle_resources(
       path = app_sys("app/www"),
       app_title = "familia"
-    )
+    ),
     # Add here other external resources
     # for example, you can add shinyalert::useShinyalert()
+    tags$style(HTML("
+      /* Ensure box collapse/expand buttons are always on top */
+      .card-tools { position: relative; z-index: 10; }
+      /* Make collapse/expand icons visible on white box headers */
+      .card-tools .btn-tool { color: #495057 !important; }
+      .card-tools .btn-tool:hover { color: #212529 !important; }
+    ")),
+    tags$script(HTML("
+      $(document).ready(function() {
+        // On page load: mirror active class from <li> onto <a> for CSS targeting
+        $('#cnv_1-sample_select_tabs li.active > a').addClass('active');
+
+        // After each tab switch (content already swapped): sync active on <a> only
+        $(document).on('shown.bs.tab', '#cnv_1-sample_select_tabs a[data-toggle=\"tab\"]', function(e) {
+          $('#cnv_1-sample_select_tabs a[data-toggle=\"tab\"]').removeClass('active');
+          $(e.target).addClass('active');
+        });
+      });
+    "))
   )
 }
diff --git a/R/mod_diversity.R b/R/mod_diversity.R
deleted file mode 100644
index 1e78944..0000000
--- a/R/mod_diversity.R
+++ /dev/null
@@ -1,640 +0,0 @@
-#' diversity UI Function
-#'
-#' @description A shiny Module.
-#'
-#' @param id,input,output,session Internal parameters for {shiny}.
-#'
-#' @noRd
-#'
-#' @importFrom shiny NS tagList
-#' @import shinydisconnect
-mod_diversity_ui <- function(id){
-  ns <- NS(id)
-  tagList(
-    # Add GWAS content here
-    fluidRow(
-      disconnectMessage(
-        text = "An unexpected error occurred, please reload the application and check the input file(s).",
-        refresh = "Reload now",
-        background = "white",
-        colour = "grey",
-        overlayColour = "grey",
-        overlayOpacity = 0.3,
-        refreshColour = "purple"
-      ),
-      column(width = 3,
-             box(title="Inputs", width = 12, collapsible = TRUE, collapsed = FALSE, status = "info", solidHeader = TRUE,
-                 fileInput(ns("diversity_file"), "Choose VCF File", accept = c(".csv",".vcf",".gz")),
-                 numericInput(ns("diversity_ploidy"), "Species Ploidy", min = 1, value = NULL),
-                 actionButton(ns("diversity_start"), "Run Analysis"),
-                 div(style="display:inline-block; float:right",dropdownButton(
-                   HTML("<b>Input files</b>"),
-                   p(downloadButton(ns('download_vcf'),""), "VCF Example File"),
-                   p(HTML("<b>Parameters description:</b>"), actionButton(ns("goPar"), icon("arrow-up-right-from-square", verify_fa = FALSE) )), hr(),
-                   p(HTML("<b>Results description:</b>"), actionButton(ns("goRes"), icon("arrow-up-right-from-square", verify_fa = FALSE) )), hr(),
-                   p(HTML("<b>How to cite:</b>"), actionButton(ns("goCite"), icon("arrow-up-right-from-square", verify_fa = FALSE) )), hr(),
-                   actionButton(ns("diversity_summary"), "Summary"),
-                   circle = FALSE,
-                   status = "warning",
-                   icon = icon("info"), width = "300px",
-                   tooltip = tooltipOptions(title = "Click to see info!")
-                 ))
-             ),
-             box(title = "Plot Controls", width=12, status = "warning", solidHeader = TRUE, collapsible = TRUE,
-                 sliderInput(ns("hist_bins"),"Histogram Bins", min = 1, max = 200, value = c(20), step = 1),
-                 div(style="display:inline-block; float:left",dropdownButton(
-                   tags$h3("Save Image"),
-                   selectInput(inputId = ns('div_figure'), label = 'Figure', choices = c("Dosage Plot",
-                                                                                         "MAF Histogram",
-                                                                                         "OHet Histogram",
-                                                                                         "Marker Plot")),
-                   selectInput(inputId = ns('div_image_type'), label = 'File Type', choices = c("jpeg","tiff","png","svg"), selected = "jpeg"),
-                   sliderInput(inputId = ns('div_image_res'), label = 'Resolution', value = 300, min = 50, max = 1000, step=50),
-                   sliderInput(inputId = ns('div_image_width'), label = 'Width', value = 8, min = 1, max = 20, step=0.5),
-                   sliderInput(inputId = ns('div_image_height'), label = 'Height', value = 5, min = 1, max = 20, step = 0.5),
-                   fluidRow(
-                     downloadButton(ns("download_div_figure"), "Save Image"),
-                     downloadButton(ns("download_div_file"), "Save Files")),
-                   circle = FALSE,
-                   status = "danger",
-                   icon = icon("floppy-disk"), width = "300px", label = "Save",
-                   tooltip = tooltipOptions(title = "Click to see inputs!")
-                 ))
-             )
-      ),
-      column(width = 6,
-             box(
-               title = "Plots", status = "info", solidHeader = FALSE, width = 12, height = 550, maximizable = T,
-               bs4Dash::tabsetPanel(
-                 id = ns('diversity_plot_tabs'),
-                 type = "tabs",
-                 tabPanel(
-                   "Dosage Plot",
-                   div(
-                     plotOutput(ns('dosage_plot'), height = "420px"), # Adjusted height
-                     uiOutput(ns('dosage_text'))                     # Text placeholder directly below plot
-                   ),
-                   style = "overflow-y: auto; height: 500px"
-                 ),
-                 tabPanel("MAF Plot", plotOutput(ns('maf_plot')),style = "overflow-y: auto; height: 500px"),
-                 tabPanel("OHet Plot", plotOutput(ns('het_plot')),style = "overflow-y: auto; height: 500px"),
-                 tabPanel("Marker Plot", plotOutput(ns('marker_plot')),style = "overflow-y: auto; height: 500px"), #Can this be an interactive plotly?
-                 tabPanel("Sample Table", DT::DTOutput(ns('sample_table')),style = "overflow-y: auto; height: 470px"),
-                 tabPanel("SNP Table", DT::DTOutput(ns('snp_table')),style = "overflow-y: auto; height: 470px")
-               )
-             )
-      ),
-      column(width = 3,
-             bs4Dash::valueBoxOutput(ns("mean_het_box"), width = NULL),
-             bs4Dash::valueBoxOutput(ns("mean_maf_box"), width = NULL),
-             box(title = "Status", width = 12, collapsible = TRUE, status = "info",
-                 progressBar(id = ns("pb_diversity"), value = 0, status = "info", display_pct = TRUE, striped = TRUE, title = " ")
-             )
-      )
-    )
-  )
-}
-
-#' diversity Server Functions
-#'
-#' @importFrom graphics axis hist points
-#' @import ggplot2
-#' @importFrom scales comma_format
-#'
-#' @noRd
-mod_diversity_server <- function(input, output, session, parent_session){
-
-    ns <- session$ns
-
-
-    # Help links
-    observeEvent(input$goPar, {
-      # change to help tab
-      updatebs4TabItems(session = parent_session, inputId = "MainMenu",
-                        selected = "help")
-
-      # select specific tab
-      updateTabsetPanel(session = parent_session, inputId = "Genomic_Diversity_tabset",
-                        selected = "Genomic_Diversity_par")
-      # expand specific box
-      updateBox(id = "Genomic_Diversity_box", action = "toggle", session = parent_session)
-    })
-
-    observeEvent(input$goRes, {
-      # change to help tab
-      updatebs4TabItems(session = parent_session, inputId = "MainMenu",
-                        selected = "help")
-
-      # select specific tab
-      updateTabsetPanel(session = parent_session, inputId = "Genomic_Diversity_tabset",
-                        selected = "Genomic_Diversity_results")
-      # expand specific box
-      updateBox(id = "Genomic_Diversity_box", action = "toggle", session = parent_session)
-    })
-
-    observeEvent(input$goCite, {
-      # change to help tab
-      updatebs4TabItems(session = parent_session, inputId = "MainMenu",
-                        selected = "help")
-
-      # select specific tab
-      updateTabsetPanel(session = parent_session, inputId = "Genomic_Diversity_tabset",
-                        selected = "Genomic_Diversity_cite")
-      # expand specific box
-      updateBox(id = "Genomic_Diversity_box", action = "toggle", session = parent_session)
-    })
-    
-    ##UI text
-    output$dosage_text <- renderUI({
-      # Check if input$plot_tabs is NULL before evaluating it
-      if (is.null(input$diversity_plot_tabs)) {
-        return(NULL)
-      }
-      
-      # Render the text only for the "Dosage Plot" tab
-      if (input$diversity_plot_tabs == "Dosage Plot" && !is.null(diversity_items$dosage_df)) {
-        div(
-          style = "color: grey; text-align: left; margin-top: 3px;",
-          "Note: 0 = homozygous reference"
-        )
-      } else {
-        NULL  # Do not render anything for other tabs
-      }
-    })
-
-    #######Genomic Diversity analysis
-
-    #Genomic Diversity output files
-    diversity_items <- reactiveValues(
-      diversity_df = NULL,
-      dosage_df = NULL,
-      het_df = NULL,
-      maf_df = NULL,
-      pos_df = NULL,
-      markerPlot = NULL,
-      snp_stats = NULL
-    )
-
-    #Reactive boxes
-    output$mean_het_box <- renderValueBox({
-      valueBox(
-        value = 0,
-        subtitle = "Mean Heterozygosity",
-        icon = icon("dna"),
-        color = "info"
-      )
-    })
-
-    output$mean_maf_box <- renderValueBox({
-      valueBox(
-        value = 0,
-        subtitle = "Mean MAF",
-        icon = icon("dna"),
-        color = "info"
-      )
-    })
-
-    observeEvent(input$diversity_start, {
-      toggleClass(id = "diversity_ploidy", class = "borderred", condition = (is.na(input$diversity_ploidy) | is.null(input$diversity_ploidy)))
-      #toggleClass(id = "zero_value", class = "borderred", condition = (is.na(input$zero_value) | is.null(input$zero_value)))
-
-      if (is.null(input$diversity_file$datapath)) {
-        shinyalert(
-          title = "Missing input!",
-          text = "Upload VCF File",
-          size = "s",
-          closeOnEsc = TRUE,
-          closeOnClickOutside = FALSE,
-          html = TRUE,
-          type = "error",
-          showConfirmButton = TRUE,
-          confirmButtonText = "OK",
-          confirmButtonCol = "#004192",
-          showCancelButton = FALSE,
-          animation = TRUE
-        )
-      }
-      req(input$diversity_file, input$diversity_ploidy)
-
-      #Input variables (need to add support for VCF file)
-      ploidy <- as.numeric(input$diversity_ploidy)
-      geno <- input$diversity_file$datapath
-
-      #Status
-      updateProgressBar(session = session, id = "pb_diversity", value = 20, title = "Importing VCF")
-
-      #Import genotype information if in VCF format
-      #### VCF sanity check
-      checks <- vcf_sanity_check(geno)
-      
-      error_if_false <- c(
-        "VCF_header", "VCF_columns", "unique_FORMAT", "GT",
-        "samples", "chrom_info", "pos_info", "VCF_compressed"
-      )
-      
-      error_if_true <- c(
-        "multiallelics", "phased_GT",  "mixed_ploidies",
-        "duplicated_samples", "duplicated_markers"
-      )
-      
-      warning_if_false <- c("ref_alt","max_markers")
-      
-      checks_result <- vcf_sanity_messages(checks, 
-                                           error_if_false, 
-                                           error_if_true, 
-                                           warning_if_false = NULL, 
-                                           warning_if_true = NULL,
-                                           input_ploidy = ploidy)
-      
-      if(checks_result) return() # Stop the analysis if checks fail
-      #########
-      
-      vcf <- read.vcfR(geno, verbose = FALSE)
-
-      #Save position information
-      diversity_items$pos_df <- data.frame(vcf@fix[, 1:2])
-
-      #Get items in FORMAT column
-      info <- vcf@gt[1,"FORMAT"] #Getting the first row FORMAT
-
-      # Apply the function to the first INFO string
-      info_ids <- extract_info_ids(info[1])
-
-      #Status
-      updateProgressBar(session = session, id = "pb_diversity", value = 40, title = "Converting to Numeric")
-
-      #Get the genotype values and convert to numeric format
-      #Extract GT and convert to numeric calls
-      geno_mat <- extract.gt(vcf, element = "GT")
-      geno_mat <- apply(geno_mat, 2, convert_to_dosage)
-      rm(vcf) #Remove VCF
-
-      #print(class(geno_mat))
-      #Convert genotypes to alternate counts if they are the reference allele counts
-      #Importantly, the dosage plot is based on the input format NOT the converted genotypes
-      is_reference <- FALSE #(input$zero_value == "Reference Allele Counts")
-
-      #print("Genotype file successfully imported")
-      ######Get MAF plot (Need to remember that the VCF genotypes are likely set as 0 = homozygous reference, where the dosage report is 0 = homozygous alternate)
-
-      #print("Starting percentage calc")
-      #Status
-      updateProgressBar(session = session, id = "pb_diversity", value = 70, title = "Calculating...")
-      # Calculate percentages for both genotype matrices
-      percentages1 <- calculate_percentages(geno_mat, ploidy)
-      # Combine the data matrices into a single data frame
-      percentages1_df <- as.data.frame(t(percentages1))
-      percentages1_df$Data <- "Dosages"
-      # Assuming my_data is your dataframe
-      #print("Percentage Complete: melting dataframe")
-      melted_data <- percentages1_df %>%
-        pivot_longer(cols = -(Data),names_to = "Dosage", values_to = "Percentage")
-
-      diversity_items$dosage_df <- melted_data
-
-      print("Dosage calculations worked")
-
-      #Convert the genotype calls prior to het,af, and maf calculation
-      geno_mat <- data.frame(convert_genotype_counts(df = geno_mat, ploidy = ploidy, is_reference),
-                             check.names = FALSE)
-
-      # Calculating heterozygosity
-      diversity_items$het_df <- calculate_heterozygosity(geno_mat, ploidy = ploidy)
-
-      #print("Heterozygosity success")
-      diversity_items$maf_df <- calculateMAF(geno_mat, ploidy = ploidy)
-      diversity_items$maf_df <- diversity_items$maf_df[, c(1,3)]
-
-      #Calculate PIC
-      calc_allele_frequencies <- function(d_diplo_t, ploidy) {
-        allele_frequencies <- apply(d_diplo_t, 1, function(x) {
-          count_sum <- sum(!is.na(x))
-          allele_sum <- sum(x, na.rm = TRUE)
-          if (count_sum != 0) {allele_sum / (ploidy * count_sum)} else {NA}
-        })
-
-        all_allele_frequencies <- data.frame(SNP = rownames(d_diplo_t), p1= allele_frequencies, p2= 1-allele_frequencies)
-        return(all_allele_frequencies)
-      }
-      Fre <-calc_allele_frequencies(geno_mat,as.numeric(ploidy))
-      calc_pic <- function(x) {
-        freq_squared <- x^2
-        outer_matrix <- outer(freq_squared, freq_squared)
-        upper_tri_sum <- sum(outer_matrix[upper.tri(outer_matrix)])
-        pic <- 1 - sum(freq_squared) - 2*upper_tri_sum
-        return(pic)
-      }
-
-      print(Fre[1:5,])
-
-      PIC_results <- apply(Fre[, c("p1", "p2")], 1, calc_pic)
-      PIC_df <- data.frame(SNP_ID = Fre$SNP, PIC = PIC_results)
-      rownames(PIC_df) <- NULL
-
-      print(PIC_df[1:5,])
-      print(diversity_items$maf_df[1:5,])
-
-      diversity_items$snp_stats <- (merge(diversity_items$maf_df, PIC_df, by = "SNP_ID", all = TRUE))[,c("SNP_ID","MAF","PIC")]
-      colnames(diversity_items$snp_stats)[1] <- "SNP"
-
-      #Updating value boxes
-      output$mean_het_box <- renderValueBox({
-        valueBox(
-          value = round(mean(diversity_items$het_df$Ho),3),
-          subtitle = "Mean Heterozygosity",
-          icon = icon("dna"),
-          color = "info"
-        )
-      })
-      output$mean_maf_box <- renderValueBox({
-        valueBox(
-          value = round(mean(diversity_items$maf_df$MAF),3),
-          subtitle = "Mean MAF",
-          icon = icon("dna"),
-          color = "info"
-        )
-      })
-
-      #Status
-      updateProgressBar(session = session, id = "pb_diversity", value = 100, title = "Complete!")
-    })
-
-    box_plot <- reactive({
-      validate(
-        need(!is.null(diversity_items$dosage_df), "Input VCF, define parameters and click `run analysis` to access results in this session.")
-      )
-
-      #Plotting
-      box <- ggplot(diversity_items$dosage_df, aes(x=Dosage, y=Percentage, fill=Data)) +
-        #geom_point(aes(color = Data), position = position_dodge(width = 0.8), width = 0.2, alpha = 0.5) +  # Add jittered points
-        geom_boxplot(position = position_dodge(width = 0.8), alpha = 0.9) +
-        labs(x = "\nDosage", y = "Percentage\n", title = "Genotype Distribution by Sample") +
-        theme_bw() +
-        theme(
-          axis.text = element_text(size = 14),
-          axis.title = element_text(size = 14)
-        )
-
-      box
-    })
-
-    output$dosage_plot <- renderPlot({
-      box_plot()
-    })
-
-    output$het_plot <- renderPlot({
-      validate(
-        need(!is.null(diversity_items$het_df) & !is.null(input$hist_bins), "Input VCF, define parameters and click `run analysis` to access results in this session.")
-      )
-      hist(diversity_items$het_df$Ho, breaks = as.numeric(input$hist_bins), col = "tan3", border = "black", xlim= c(0,1),
-           xlab = "Observed Heterozygosity",
-           ylab = "Number of Samples",
-           main = "Sample Observed Heterozygosity")
-      axis(1, at = seq(0, 1, by = 0.1), labels = TRUE)
-    })
-
-    #Marker plot
-    marker_plot <- reactive({
-      validate(
-        need(!is.null(diversity_items$pos_df), "Input VCF, define parameters and click `run analysis` to access results in this session.")
-      )
-      #Order the Chr column
-      diversity_items$pos_df$POS <- as.numeric(diversity_items$pos_df$POS)
-      # Sort the dataframe and pad with a 0 if only a single digit is provided
-      diversity_items$pos_df$CHROM <- ifelse(
-        nchar(diversity_items$pos_df$CHROM) == 1,
-        paste0("0", diversity_items$pos_df$CHROM),
-        diversity_items$pos_df$CHROM
-      )
-      diversity_items$pos_df <- diversity_items$pos_df[order(diversity_items$pos_df$CHROM), ]
-
-      #Plot
-
-      # Create custom breaks for the x-axis labels (every 13Mb)
-      x_breaks <- seq(0, max(diversity_items$pos_df$POS), by = (max(diversity_items$pos_df$POS)/5))
-      x_breaks <- c(x_breaks, max(diversity_items$pos_df$POS))  # Add 114Mb as a custom break
-
-      # Create custom labels for the x-axis using the 'Mb' suffix
-      x_labels <- comma_format()(x_breaks / 1000000)
-      x_labels <- paste0(x_labels, "Mb")
-
-      suppressWarnings({
-        markerPlot <- ggplot(diversity_items$pos_df, aes(x = as.numeric(POS), y = CHROM, group = as.factor(CHROM))) +
-          geom_point(aes(color = as.factor(CHROM)), shape = 108, size = 5, show.legend = FALSE) +
-          xlab("Position") +
-          #ylab("Markers\n") +
-          theme(axis.text = element_text(size = 11, color = "black"),
-                axis.text.x.top = element_text(size = 11, color = "black"),
-                axis.title = element_blank(),
-                panel.grid = element_blank(),
-                axis.ticks.length.x = unit(-0.15, "cm"),
-                axis.ticks.margin = unit(0.1, "cm"),
-                axis.ticks.y = element_blank(),
-                axis.line.x.top = element_line(color="black"),
-                panel.background = element_rect(fill="white"),
-                plot.margin = margin(10, 25, 10, 10)
-          ) +
-          scale_x_continuous(
-            breaks = x_breaks,     # Set custom breaks for x-axis labels
-            labels = x_labels,     # Set custom labels with "Mb" suffixes
-            position = "top",       # Move x-axis labels and ticks to the top
-            expand = c(0,0),
-            limits = c(0,max(diversity_items$pos_df$POS))
-          )
-      })
-      #Display plot
-      markerPlot
-    })
-
-    output$marker_plot <- renderPlot({
-      marker_plot()
-    })
-
-    output$maf_plot <- renderPlot({
-      validate(
-        need(!is.null(diversity_items$maf_df) & !is.null(input$hist_bins), "Input VCF, define parameters and click `run analysis` to access results in this session.")
-      )
-
-      hist(diversity_items$maf_df$MAF, breaks = as.numeric(input$hist_bins), col = "grey", border = "black", xlab = "Minor Allele Frequency (MAF)",
-           ylab = "Frequency", main = "Minor Allele Frequency Distribution")
-    })
-
-    sample_table <- reactive({
-      validate(
-        need(!is.null(diversity_items$het_df), "Input VCF, define parameters and click `run analysis` to access results in this session.")
-      )
-      tb <- diversity_items$het_df
-      tb$Ho <- round(tb$Ho,4)
-      tb
-    })
-
-    output$sample_table <- DT::renderDT({sample_table()}, options = list(scrollX = TRUE,autoWidth = FALSE, pageLength = 5))
-
-    snp_table <- reactive({
-      validate(
-        need(!is.null(diversity_items$snp_stats), "Input VCF, define parameters and click `run analysis` to access results in this session.")
-      )
-      tb <- diversity_items$snp_stats
-      tb$PIC <- round(tb$PIC,4)
-      tb$MAF <- round(tb$MAF,4)
-      tb
-    })
-
-    output$snp_table <- DT::renderDT({snp_table()}, options = list(scrollX = TRUE,autoWidth = FALSE, pageLength = 5))
-
-    #Download Figures for Diversity Tab (Need to convert figures to ggplot)
-    output$download_div_figure <- downloadHandler(
-
-      filename = function() {
-        if (input$div_image_type == "jpeg") {
-          paste("genomic-diversity-", Sys.Date(), ".jpg", sep="")
-        } else if (input$div_image_type == "png") {
-          paste("genomic-diversity-", Sys.Date(), ".png", sep="")
-        } else if (input$div_image_type == "svg") {
-          paste("genomic-diversity-", Sys.Date(), ".svg", sep="")
-        } else {
-          paste("genomic-diversity-", Sys.Date(), ".tiff", sep="")
-        }
-      },
-      content = function(file) {
-        req(input$div_figure)
-
-        if (input$div_image_type == "jpeg") {
-          jpeg(file, width = as.numeric(input$div_image_width), height = as.numeric(input$div_image_height), res= as.numeric(input$div_image_res), units = "in")
-        } else if (input$div_image_type == "png") {
-          png(file, width = as.numeric(input$div_image_width), height = as.numeric(input$div_image_height), res= as.numeric(input$div_image_res), units = "in")
-        } else if (input$div_image_type == "svg") {
-          svg(file, width = as.numeric(input$div_image_width), height = as.numeric(input$div_image_height))
-        } else {
-          tiff(file, width = as.numeric(input$div_image_width), height = as.numeric(input$div_image_height), res= as.numeric(input$div_image_res), units = "in")
-        }
-
-        # Conditional plotting based on input selection
-        if (input$div_figure == "Dosage Plot") {
-          print(box_plot())
-        } else if (input$div_figure == "MAF Histogram") {
-          hist(diversity_items$maf_df$MAF, breaks = as.numeric(input$hist_bins), col = "grey", border = "black", xlab = "Minor Allele Frequency (MAF)",
-               ylab = "Frequency", main = "Minor Allele Frequency Distribution")
-        } else if (input$div_figure == "OHet Histogram") {
-          hist(diversity_items$het_df$Ho, breaks = as.numeric(input$hist_bins), col = "tan3", border = "black", xlim= c(0,1),
-               xlab = "Observed Heterozygosity",
-               ylab = "Number of Samples",
-               main = "Sample Observed Heterozygosity")
-          axis(1, at = seq(0, 1, by = 0.1), labels = TRUE)
-        } else if (input$div_figure == "Marker Plot") {
-          print(marker_plot())
-        }
-
-        dev.off()
-      }
-
-    )
-
-    #Download files for Genotype Diversity
-    output$download_div_file <- downloadHandler(
-      filename = function() {
-        paste0("genomic-diversity-results-", Sys.Date(), ".zip")
-      },
-      content = function(file) {
-        # Temporary files list
-        temp_dir <- tempdir()
-        temp_files <- c()
-
-        if (!is.null(diversity_items$het_df)) {
-          # Create a temporary file for assignments
-          het_file <- file.path(temp_dir, paste0("Sample-statistics-", Sys.Date(), ".csv"))
-          write.csv(diversity_items$het_df, het_file, row.names = FALSE)
-          temp_files <- c(temp_files, het_file)
-        }
-
-        if (!is.null(diversity_items$snp_stats)) {
-          # Create a temporary file for BIC data frame
-          maf_file <- file.path(temp_dir, paste0("SNP-statistics-", Sys.Date(), ".csv"))
-          write.csv(diversity_items$snp_stats, maf_file, row.names = FALSE)
-          temp_files <- c(temp_files, maf_file)
-        }
-
-        # Zip files only if there's something to zip
-        if (length(temp_files) > 0) {
-          zip(file, files = temp_files, extras = "-j") # Using -j to junk paths
-        }
-
-        # Optionally clean up
-        file.remove(temp_files)
-      }
-    )
-
-    output$download_vcf <- downloadHandler(
-      filename = function() {
-        paste0("BIGapp_VCF_Example_file.vcf.gz")
-      },
-      content = function(file) {
-        ex <- system.file("iris_DArT_VCF.vcf.gz", package = "BIGapp")
-        file.copy(ex, file)
-      })
-
-    ##Summary Info
-    diversity_summary_info <- function() {
-      # Handle possible NULL values for inputs
-      dosage_file_name <- if (!is.null(input$diversity_file$name)) input$diversity_file$name else "No file selected"
-      selected_ploidy <- if (!is.null(input$diversity_ploidy)) as.character(input$diversity_ploidy) else "Not selected"
-
-      # Print the summary information
-      cat(
-        "BIGapp Summary Metrics Summary\n",
-        "\n",
-        paste0("Date: ", Sys.Date()), "\n",
-        paste(R.Version()$version.string), "\n",
-        "\n",
-        "### Input Files ###\n",
-        "\n",
-        paste("Input Genotype File:", dosage_file_name), "\n",
-        "\n",
-        "### User Selected Parameters ###\n",
-        "\n",
-        paste("Selected Ploidy:", selected_ploidy), "\n",
-        "\n",
-        "### R Packages Used ###\n",
-        "\n",
-        paste("BIGapp:", packageVersion("BIGapp")), "\n",
-        paste("BIGr:", packageVersion("BIGr")), "\n",
-        paste("ggplot2:", packageVersion("ggplot2")), "\n",
-        paste("vcfR:", packageVersion("vcfR")), "\n",
-        sep = ""
-      )
-    }
-
-    # Popup for analysis summary
-    observeEvent(input$diversity_summary, {
-      showModal(modalDialog(
-        title = "Summary Information",
-        size = "l",
-        easyClose = TRUE,
-        footer = tagList(
-          modalButton("Close"),
-          downloadButton("download_diversity_info", "Download")
-        ),
-        pre(
-          paste(capture.output(diversity_summary_info()), collapse = "\n")
-        )
-      ))
-    })
-
-
-    # Download Summary Info
-    output$download_diversity_info <- downloadHandler(
-      filename = function() {
-        paste("diversity_summary_", Sys.Date(), ".txt", sep = "")
-      },
-      content = function(file) {
-        # Write the summary info to a file
-        writeLines(paste(capture.output(diversity_summary_info()), collapse = "\n"), file)
-      }
-    )
-}
-
-## To be copied in the UI
-# mod_diversity_ui("diversity_1")
-
-## To be copied in the server
-# mod_diversity_server("diversity_1")
diff --git a/R/mod_ped_cleaner.R b/R/mod_ped_cleaner.R
new file mode 100644
index 0000000..1008c8c
--- /dev/null
+++ b/R/mod_ped_cleaner.R
@@ -0,0 +1,427 @@
+#' Pedigree Cleaner module UI
+#'
+#' @param id Module id
+#'
+#' @noRd
+mod_ped_cleaner_ui <- function(id) {
+  ns <- shiny::NS(id)
+  shiny::tagList(
+    shinyjs::useShinyjs(),
+    shiny::sidebarLayout(
+      shiny::sidebarPanel(
+        shiny::div(
+          style = "background-color: #ffffff; border: 2px solid #444444; padding: 15px; margin-bottom: 20px; border-radius: 8px;",
+          shiny::h4(
+            shiny::tagList(shiny::icon("gear"), "Getting Started"),
+            style = "color: #000000; margin-bottom: 15px; border-bottom: 1px solid black; padding-bottom: 8px;"
+          ),
+          shiny::htmlOutput(ns("dynamic_guide")),
+          shiny::div(
+            style = "text-align: center; margin-top: 15px; padding-top: 10px; border-top: 1px solid #dee2e6;",
+            shiny::actionButton(
+              ns("help_btn"),
+              shiny::tagList(shiny::icon("circle-question"), "Help"),
+              style = "background-color: #FFD700; color: #000000; border:none; padding: 8px 16px; border-radius: 5px;"
+            )
+          )
+        ),
+        shiny::wellPanel(
+          style = "background-color: #ffffff; border: 2px solid #444444; padding: 15px; margin-bottom: 20px; border-radius: 8px;",
+          shiny::h4(
+            shiny::tagList(shiny::icon("sitemap"), "Pedigree Input"),
+            style = "color: #000000; margin-bottom: 15px; border-bottom: 1px solid #000000; padding-bottom: 8px;"
+          ),
+          shiny::p(
+            "Upload a pedigree file (.txt, .tsv, or .csv) with columns: id, male_parent, female_parent.",
+            style = "color: #6c757d; font-size: 12px; margin-bottom: 15px;"
+          ),
+          shiny::fileInput(
+            ns("ped_file"),
+            "Upload pedigree file",
+            accept = c(".txt", ".tsv", ".csv")
+          ),
+          shiny::actionButton(
+            ns("run_check"),
+            "Run Pedigree Check",
+            style = "margin-top: 10px; width: 100%; background-color: #28a745; color: white; border: none; padding: 10px; border-radius: 5px;"
+          )
+        ),
+        shiny::wellPanel(
+          style = "background-color: #ffffff; border: 2px solid #444444; padding: 15px; margin-bottom: 20px; border-radius: 8px;",
+          shiny::h4(
+            shiny::tagList(shiny::icon("download"), "Export"),
+            style = "color: #000000; margin-bottom: 15px; border-bottom: 1px solid #000000; padding-bottom: 8px;"
+          ),
+          shiny::p(
+            "Download the corrected pedigree and issue report as a zip file:",
+            style = "color: #6c757d; font-size: 12px; margin-bottom: 15px;"
+          ),
+          shinyjs::disabled(
+            shiny::downloadButton(
+              ns("download_results"),
+              "Export Corrected Pedigree + Report",
+              style = "width: 100%; background-color: #28a745; color: white; border: none; padding: 10px; border-radius: 5px;"
+            )
+          )
+        )
+      ),
+      shiny::mainPanel(
+        shiny::fluidRow(
+          shiny::column(
+            width = 12,
+            bs4Dash::box(
+              title       = "Status",
+              width       = 12,
+              collapsible = TRUE,
+              status      = "info",
+              shinyWidgets::progressBar(
+                id          = ns("pb_ped"),
+                value       = 0,
+                status      = "info",
+                display_pct = TRUE,
+                striped     = TRUE,
+                title       = " "
+              )
+            )
+          )
+        ),
+        shiny::br(),
+        shiny::uiOutput(ns("summary_banner")),
+        shiny::br(),
+        shiny::uiOutput(ns("results_ui"))
+      )
+    )
+  )
+}
+
+#' Pedigree Cleaner module server
+#'
+#' @param id Module id
+#' @param parent_session Parent (app) session, used for sidebar navigation
+#'
+#' @noRd
+mod_ped_cleaner_server <- function(id, parent_session) {
+  shiny::moduleServer(id, function(input, output, session) {
+    check_results <- shiny::reactiveVal(NULL)
+    error_message <- shiny::reactiveVal("")
+    
+    # Helpers
+    make_collapse_panel <- function(panel_id, icon_name, label, body_content) {
+      shiny::tags$div(
+        class = "card mb-1",
+        style = "border: 1px solid #dee2e6; border-radius: 4px;",
+        shiny::tags$div(
+          class = "card-header p-0",
+          style = "background-color: #f8f9fa;",
+          shiny::tags$button(
+            class           = "btn btn-link btn-sm w-100 text-left d-flex align-items-center",
+            style           = "color: #343a40; text-decoration: none; font-size: 13px; padding: 8px 12px; gap: 6px;",
+            `data-toggle`   = "collapse",
+            `data-target`   = paste0("#", panel_id),
+            `aria-expanded` = "false",
+            shiny::icon(icon_name),
+            shiny::tags$span(label)
+          )
+        ),
+        shiny::tags$div(
+          id    = panel_id,
+          class = "collapse",
+          shiny::tags$div(
+            class = "card-body",
+            style = "padding: 12px 14px; font-size: 13px;",
+            body_content
+          )
+        )
+      )
+    }
+    
+    sanitize_id <- function(x) gsub("[^A-Za-z0-9]", "_", tolower(x))
+    
+    # Startup
+    output$dynamic_guide <- shiny::renderUI({
+      current_error <- error_message()
+      has_file      <- !is.null(input$ped_file)
+      has_results   <- !is.null(check_results())
+      
+      if (current_error != "") {
+        return(shiny::HTML(paste0(
+          "<div style='background-color: #f8d7da; border: 1px solid #f5c6cb; padding: 8px; border-radius: 4px; margin-bottom: 10px;'>",
+          "<p style='color: #721c24; margin: 0;'><strong>Error occurred:</strong></p>",
+          "<p style='color: #721c24; margin: 5px 0; font-family: monospace; font-size: 11px;'>", current_error, "</p>",
+          "</div>"
+        )))
+      }
+      
+      get_icon <- function(done) {
+        if (done) {
+          "<span style='color: #28a745; font-weight: bold;'>[Done]</span>"
+        } else {
+          "<span style='color: #6c757d;'>[Pending]</span>"
+        }
+      }
+      
+      steps <- c(
+        sprintf("<p>%s <strong>Step 1:</strong> Upload your pedigree file (.txt, .tsv, or .csv)</p>",
+                get_icon(has_file)),
+        sprintf("<p>%s <strong>Step 2:</strong> Click 'Run Pedigree Check' to detect and fix issues</p>",
+                get_icon(has_results)),
+        sprintf("<p>%s <strong>Step 3:</strong> Review results and export the corrected pedigree</p>",
+                get_icon(has_results))
+      )
+      
+      if (has_results) {
+        steps <- c(steps,
+                   "<p><strong>Check Complete!</strong></p>",
+                   "<p style='color: #28a745; font-weight: bold;'>Your corrected pedigree is ready to download.</p>"
+        )
+      }
+      shiny::HTML(paste(steps, collapse = ""))
+    })
+    
+    # Help button
+    shiny::observeEvent(input$help_btn, {
+      shiny::showModal(
+        shiny::modalDialog(
+          title     = shiny::tagList(shiny::icon("circle-question"), " Pedigree Cleaner — Help"),
+          size      = "l",
+          easyClose = TRUE,
+          footer    = shiny::modalButton("Close"),
+          help_content_ped_cleaner(collapse_fn = make_collapse_panel, id_prefix = "modal")
+        )
+      )
+    })
+    
+    # Run check
+    shiny::observeEvent(input$run_check, {
+      shiny::req(input$ped_file)
+      error_message("")
+      check_results(NULL)
+      shinyjs::disable(session$ns("download_results"))
+      
+      tryCatch({
+        shinyWidgets::updateProgressBar(
+          session = session, id = "pb_ped",
+          value = 10, status = "info",
+          title = "Reading pedigree file..."
+        )
+        
+        tmp_path <- input$ped_file$datapath
+        file_ext <- tolower(tools::file_ext(input$ped_file$name))
+        
+        ped_raw <- if (file_ext == "csv") {
+          utils::read.csv(tmp_path, header = TRUE,
+                          stringsAsFactors = FALSE, check.names = FALSE)
+        } else {
+          utils::read.table(tmp_path, header = TRUE, sep = "\t",
+                            stringsAsFactors = FALSE, check.names = FALSE)
+        }
+        
+        required_cols <- c("id", "male_parent", "female_parent")
+        missing_cols  <- setdiff(required_cols, colnames(ped_raw))
+        if (length(missing_cols) > 0) {
+          stop(paste0(
+            "Missing required column(s): ",
+            paste(missing_cols, collapse = ", "),
+            ". File must contain: id, male_parent, female_parent."
+          ))
+        }
+        
+        shinyWidgets::updateProgressBar(
+          session = session, id = "pb_ped",
+          value = 30, status = "info",
+          title = "Checking for duplicate records..."
+        )
+        shinyWidgets::updateProgressBar(
+          session = session, id = "pb_ped",
+          value = 50, status = "info",
+          title = "Checking for conflicting IDs and inconsistent parent sex roles..."
+        )
+        shinyWidgets::updateProgressBar(
+          session = session, id = "pb_ped",
+          value = 70, status = "info",
+          title = "Checking for missing parents..."
+        )
+        shinyWidgets::updateProgressBar(
+          session = session, id = "pb_ped",
+          value = 85, status = "info",
+          title = "Detecting cycles and dependencies..."
+        )
+        
+        report <- BIGr::check_ped(
+          ped.file = tmp_path,
+          verbose  = FALSE,
+          save_zip = FALSE
+        )
+        
+        file_base_actual <- tools::file_path_sans_ext(basename(tmp_path))
+        corrected_name   <- paste0(file_base_actual, "_corrected")
+        corrected_ped    <- tryCatch(
+          get(corrected_name, envir = .GlobalEnv, inherits = FALSE),
+          error = function(e) NULL
+        )
+        
+        check_results(list(
+          report        = report,
+          corrected_ped = corrected_ped
+        ))
+        
+        shinyWidgets::updateProgressBar(
+          session = session, id = "pb_ped",
+          value = 100, status = "success",
+          title = "Finished"
+        )
+        shinyjs::enable(session$ns("download_results"))
+        
+      }, error = function(e) {
+        error_message(paste0("Error running pedigree check: ", e$message))
+        check_results(NULL)
+        shinyWidgets::updateProgressBar(
+          session = session, id = "pb_ped",
+          value = 100, status = "danger",
+          title = "Failed"
+        )
+      })
+    })
+    
+    # Summary banner
+    output$summary_banner <- shiny::renderUI({
+      shiny::req(check_results())
+      report <- check_results()$report
+      
+      get_count <- function(df) if (is.null(df) || !is.data.frame(df)) 0L else nrow(df)
+      n_dupes    <- get_count(report$exact_duplicates)
+      n_conflict <- get_count(report$repeated_ids_diff)
+      n_messy    <- get_count(report$inconsistent_sex_roles)
+      n_missing  <- get_count(report$missing_parents)
+      n_cycles   <- get_count(report$dependencies)
+      total      <- n_dupes + n_conflict + n_messy + n_missing + n_cycles
+      
+      banner_color <- if (total == 0) "#d4edda" else "#fff3cd"
+      border_color <- if (total == 0) "#c3e6cb" else "#ffeeba"
+      text_color   <- if (total == 0) "#155724"  else "#856404"
+      headline     <- if (total == 0) "No issues found. Pedigree looks clean!" else
+        paste0(total, " issue(s) detected and corrected. Review the summary below.")
+      
+      shiny::HTML(paste0(
+        "<div style='background-color:", banner_color, "; border: 1px solid ", border_color,
+        "; padding: 12px; border-radius: 6px;'>",
+        "<p style='color:", text_color, "; margin: 0; font-weight: bold; font-size: 14px;'>",
+        headline, "</p>",
+        "<p style='color:", text_color, "; margin: 6px 0 0 0; font-size: 12px;'>",
+        "- Exact duplicates removed: <strong>", n_dupes, "</strong> &nbsp;",
+        "- Conflicting IDs resolved: <strong>", n_conflict, "</strong> &nbsp;",
+        "- Inconsistent parent sex roles flagged: <strong>", n_messy, "</strong> &nbsp;",
+        "- Missing parents added: <strong>", n_missing, "</strong> &nbsp;",
+        "- Cycles detected: <strong>", n_cycles, "</strong>",
+        "</p></div>"
+      ))
+    })
+    
+    # Results UI
+    output$results_ui <- shiny::renderUI({
+      shiny::req(check_results())
+      report <- check_results()$report
+      
+      get_count <- function(df) if (is.null(df) || !is.data.frame(df)) 0L else nrow(df)
+      
+      make_section <- function(title, icon_name, df, color_hex) {
+        n      <- get_count(df)
+        tbl_id <- paste0("tbl_", sanitize_id(title))
+        bs4Dash::box(
+          title = shiny::tagList(
+            shiny::icon(icon_name),
+            shiny::strong(paste0(" ", title, ": ")),
+            shiny::span(
+              if (n == 0) "None found" else paste0(n, " record(s) found"),
+              style = paste0("color: ", if (n == 0) "#28a745" else color_hex, ";")
+            )
+          ),
+          width       = 12,
+          collapsible = TRUE,
+          collapsed   = (n == 0),
+          status      = if (n == 0) "success" else "warning",
+          style       = paste0("border-left: 4px solid ", color_hex, ";"),
+          if (n > 0) {
+            DT::DTOutput(session$ns(tbl_id))
+          } else {
+            shiny::p("No records found.", style = "color: #28a745; margin: 0;")
+          }
+        )
+      }
+      
+      sections <- shiny::tagList(
+        shiny::h5(
+          shiny::tagList(shiny::icon("list-check"), " Check Results"),
+          style = "font-weight: bold; margin-bottom: 10px;"
+        ),
+        make_section("Exact Duplicates Removed",       "copy",        report$exact_duplicates,       "#6c757d"),
+        make_section("Conflicting IDs Resolved",       "exclamation", report$repeated_ids_diff,      "#856404"),
+        make_section("Inconsistent Parent Sex Roles",  "shuffle",     report$inconsistent_sex_roles, "#856404"),
+        make_section("Missing Parents Added",          "user-plus",   report$missing_parents,        "#0c5460"),
+        make_section("Cycles / Dependencies Detected", "rotate",      report$dependencies,           "#721c24")
+      )
+      
+      render_if <- function(title, df) {
+        output_id <- paste0("tbl_", sanitize_id(title))
+        if (!is.null(df) && is.data.frame(df) && nrow(df) > 0) {
+          output[[output_id]] <- DT::renderDT({
+            DT::datatable(df,
+                          rownames = FALSE,
+                          options  = list(pageLength = 10, scrollX = TRUE),
+                          class    = "table-bordered table-sm")
+          })
+        }
+      }
+      
+      render_if("Exact Duplicates Removed",       report$exact_duplicates)
+      render_if("Conflicting IDs Resolved",       report$repeated_ids_diff)
+      render_if("Inconsistent Parent Sex Roles",  report$inconsistent_sex_roles)
+      render_if("Missing Parents Added",          report$missing_parents)
+      render_if("Cycles / Dependencies Detected", report$dependencies)
+      
+      sections
+    })
+    
+    # Download
+    output$download_results <- shiny::downloadHandler(
+      filename = function() {
+        paste0("pedigree_check_", Sys.Date(), ".zip")
+      },
+      content = function(file) {
+        shiny::req(check_results())
+        results <- check_results()
+        report  <- results$report
+        tmp_dir <- tempfile("ped_export")
+        dir.create(tmp_dir)
+        
+        if (!is.null(results$corrected_ped)) {
+          write.table(results$corrected_ped,
+                      file.path(tmp_dir, "corrected_pedigree.txt"),
+                      sep = "\t", row.names = FALSE, quote = FALSE)
+        }
+        
+        sections <- list(
+          exact_duplicates       = report$exact_duplicates,
+          conflicting_ids        = report$repeated_ids_diff,
+          inconsistent_sex_roles = report$inconsistent_sex_roles,
+          missing_parents        = report$missing_parents,
+          dependencies           = report$dependencies
+        )
+        
+        for (nm in names(sections)) {
+          df <- sections[[nm]]
+          if (!is.null(df) && is.data.frame(df) && nrow(df) > 0) {
+            write.table(df,
+                        file.path(tmp_dir, paste0(nm, ".txt")),
+                        sep = "\t", row.names = FALSE, quote = FALSE)
+          }
+        }
+        
+        tsv_files <- list.files(tmp_dir)
+        zip::zip(zipfile = file, files = tsv_files, root = tmp_dir)
+        unlink(tmp_dir, recursive = TRUE)
+      },
+      contentType = "application/zip"
+    )
+  })
+}
\ No newline at end of file
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diff --git a/inst/app/www/custom.css b/inst/app/www/custom.css
new file mode 100644
index 0000000..5cb9856
--- /dev/null
+++ b/inst/app/www/custom.css
@@ -0,0 +1,451 @@
+/* ── Custom Box Colors ── */
+
+:root {
+  --azure-core: #48A9C5;
+  --azure-lite: #B5DDE8;
+  --azure-deep: #2A6576;
+  --green-core: #319B42;
+  --green-lite: #A3D9AC;
+  --green-deep: #1E5D28;
+  --yellow-core: #EFB526;
+  --yellow-lite: #F9E1A8;
+  --yellow-deep: #8F6D17;
+  --grey-core: #707372;
+  --grey-lite: #C8CACA;
+  --grey-deep: #434544;
+  --purple-core: #512C85;
+  --purple-lite: #A896C2;
+  --purple-deep: #311A50;
+  --red-core: #E43F4F;
+  --red-lite: #F2A7AE;
+  --red-deep: #8E1E2A;
+  --saddleBrown: #8B4513;
+  --rosybrown: #BC8F8F;
+  --coral: #FF7F50;
+  --lightcoral: #F08080;
+  --darkorange: #FF8C00;
+}
+
+/* Override all bs4Dash status colors with custom colors */
+
+/* Info -> Azure Core */
+.card-info:not(.card-outline) .card-header {
+  background-color: var(--azure-core) !important;
+  color: white !important;
+  border: none !important;
+  margin: -1px -1px 0 -1px !important;
+}
+.card-info:not(.card-outline) {
+  border-top: 3px solid var(--azure-core) !important;
+}
+
+/* Secondary -> Grey Core */
+.card-secondary:not(.card-outline) .card-header {
+  background-color: var(--grey-core) !important;
+  color: white !important;
+  border: none !important;
+  margin: -1px -1px 0 -1px !important;
+}
+.card-secondary:not(.card-outline) {
+  border-top: 3px solid var(--grey-core) !important;
+}
+
+/* Primary -> Azure Lite */
+.card-primary .card-header {
+  background-color: var(--azure-lite) !important;
+  color: #333 !important;
+    border: none !important;
+  margin: -1px -1px 0 -1px !important;
+}
+.card-primary:not(.card-outline) {
+  border-top: 3px solid var(--azure-lite) !important;
+}
+
+/* Success -> Green Core */
+.card-success:not(.card-outline) .card-header {
+  background-color: var(--green-core) !important;
+  color: white !important;
+    border: none !important;
+  margin: -1px -1px 0 -1px !important;
+}
+.card-success:not(.card-outline) {
+  border-top: 3px solid var(--green-core) !important;
+}
+
+/* Warning -> Yellow Core */
+.card-warning:not(.card-outline) .card-header {
+  background-color: var(--yellow-core) !important;
+  color: #333 !important;
+  border: none !important;
+  margin: -1px -1px 0 -1px !important;
+}
+.card-warning:not(.card-outline) {
+  border-top: 3px solid var(--yellow-core) !important;
+}
+
+/* Danger -> Red Core */
+.card-danger:not(.card-outline) .card-header {
+  background-color: var(--red-core) !important;
+  color: white !important;
+  border: none !important;
+  margin: -1px -1px 0 -1px !important;
+}
+.card-danger:not(.card-outline) {
+  border-top: 3px solid var(--red-core) !important;
+}
+
+/* Gray-dark -> Grey Deep */
+.card-gray-dark:not(.card-outline) .card-header {
+  background-color: var(--grey-deep) !important;
+  color: white !important;
+    border: none !important;
+  margin: -1px -1px 0 -1px !important;
+}
+.card-gray-dark:not(.card-outline) {
+  border-top: 3px solid var(--grey-deep) !important;
+}
+
+/* Gray -> Grey Lite */
+.card-gray:not(.card-outline) .card-header {
+  background-color: var(--grey-lite) !important;
+  color: #333 !important;
+    border: none !important;
+  margin: -1px -1px 0 -1px !important;
+}
+.card-gray:not(.card-outline) {
+  border-top: 3px solid var(--grey-lite) !important;
+}
+
+/* Indigo -> Purple Core */
+.card-indigo:not(.card-outline) .card-header {
+  background-color: var(--purple-core) !important;
+  color: white !important;
+  border: none !important;
+  margin: -1px -1px 0 -1px !important;
+}
+.card-indigo:not(.card-outline) {
+  border-top: 3px solid var(--purple-core) !important;
+}
+
+/* Lightblue -> Azure Deep */
+.card-lightblue:not(.card-outline) .card-header {
+  background-color: var(--azure-deep) !important;
+  color: white !important;
+  border: none !important;
+  margin: -1px -1px 0 -1px !important;
+}
+.card-lightblue:not(.card-outline) {
+  border-top: 3px solid var(--azure-deep) !important;
+}
+
+/* Navy -> Saddle Brown */
+.card-navy:not(.card-outline) .card-header {
+  background-color: var(--saddleBrown) !important;
+  color: white !important;
+    border: none !important;
+  margin: -1px -1px 0 -1px !important;
+}
+.card-navy:not(.card-outline) {
+  border-top: 3px solid var(--saddleBrown) !important;
+}
+
+/* Purple -> Purple Lite */
+.card-purple:not(.card-outline) .card-header {
+  background-color: var(--purple-lite) !important;
+  color: #333 !important;
+    border: none !important;
+  margin: -1px -1px 0 -1px !important;
+}
+.card-purple:not(.card-outline) {
+  border-top: 3px solid var(--purple-lite) !important;
+}
+
+/* Fuchsia -> Purple Deep */
+.card-fuchsia:not(.card-outline) .card-header {
+  background-color: var(--purple-deep) !important;
+  color: white !important;
+  border: none !important;
+  margin: -1px -1px 0 -1px !important;
+}
+.card-fuchsia:not(.card-outline) {
+  border-top: 3px solid var(--purple-deep) !important;
+}
+
+/* Pink -> Red Lite */
+.card-pink:not(.card-outline) .card-header {
+  background-color: var(--red-lite) !important;
+  color: #333 !important;
+    border-top-left-radius: 0.25rem !important;
+  border-top-right-radius: 0.25rem !important;
+}
+.card-pink:not(.card-outline) {
+  border-top: 3px solid var(--red-lite) !important;
+}
+
+/* Maroon -> Red Deep */
+.card-maroon:not(.card-outline) .card-header {
+  background-color: var(--red-deep) !important;
+  color: white !important;
+    border: none !important;
+  margin: -1px -1px 0 -1px !important;
+}
+.card-maroon:not(.card-outline) {
+  border-top: 3px solid var(--red-deep) !important;
+}
+
+/* Orange -> Yellow Deep */
+.card-orange:not(.card-outline) .card-header {
+  background-color: var(--yellow-deep) !important;
+  color: white !important;
+    border: none !important;
+  margin: -1px -1px 0 -1px !important;
+}
+.card-orange:not(.card-outline) {
+  border-top: 3px solid var(--yellow-deep) !important;
+}
+
+/* Lime -> Green Lite */
+.card-lime:not(.card-outline) .card-header {
+  background-color: var(--green-lite) !important;
+  color: #333 !important;
+    border: none !important;
+  margin: -1px -1px 0 -1px !important;
+}
+.card-lime:not(.card-outline) {
+  border-top: 3px solid var(--green-lite) !important;
+}
+
+/* Teal -> Yellow Lite */
+.card-teal:not(.card-outline) .card-header {
+  background-color: var(--yellow-lite) !important;
+  color: #333 !important;
+  border: none !important;
+  margin: -1px -1px 0 -1px !important;
+}
+.card-teal:not(.card-outline) {
+  border-top: 3px solid var(--yellow-lite) !important;
+}
+
+/* Olive -> Green Deep */
+.card-olive:not(.card-outline) .card-header {
+  background-color: var(--green-deep) !important;
+  color: white !important;
+  border: none !important;
+  margin: -1px -1px 0 -1px !important;
+}
+.card-olive:not(.card-outline) {
+  border-top: 3px solid var(--green-deep) !important;
+}
+
+
+/* ── ValueBox Gradient Color Overrides ── */
+
+/* Info -> Azure Core */
+.small-box.bg-gradient-info {
+  background: linear-gradient(135deg, var(--azure-core), var(--azure-deep)) !important;
+  color: white !important;
+}
+.small-box.bg-gradient-info .icon {
+  color: rgba(255,255,255,0.3) !important;
+}
+
+/* Secondary -> Grey Core */
+.small-box.bg-gradient-secondary {
+  background: linear-gradient(135deg, var(--grey-core), var(--grey-deep)) !important;
+  color: white !important;
+}
+.small-box.bg-gradient-secondary .icon {
+  color: rgba(255,255,255,0.3) !important;
+}
+
+/* Info -> Azure Lite */
+.small-box.bg-gradient-primary {
+  background: linear-gradient(135deg, var(--azure-lite), var(--azure-core)) !important;
+  color: #333 !important;
+}
+.small-box.bg-gradient-primary .icon {
+  color: rgba(51,51,51,0.3) !important;
+}
+
+/* Success -> Green Core */
+.small-box.bg-gradient-success {
+  background: linear-gradient(135deg, var(--green-core), var(--green-deep)) !important;
+  color: white !important;
+}
+.small-box.bg-gradient-success .icon {
+  color: rgba(255,255,255,0.3) !important;
+}
+
+/* Warning -> Yellow Core */
+.small-box.bg-gradient-warning {
+  background: linear-gradient(135deg, var(--yellow-core), var(--yellow-deep)) !important;
+  color: #333 !important;
+}
+.small-box.bg-gradient-warning .icon {
+  color: rgba(51,51,51,0.3) !important;
+}
+
+/* Danger -> Red Core */
+.small-box.bg-gradient-danger {
+  background: linear-gradient(135deg, var(--red-core), var(--red-deep)) !important;
+  color: white !important;
+}
+.small-box.bg-gradient-danger .icon {
+  color: rgba(255,255,255,0.3) !important;
+}
+
+/* Navy -> Saddle Brown */
+.small-box.bg-gradient-navy {
+  background: linear-gradient(135deg, var(--saddleBrown), #5d2f0a) !important;
+  color: white !important;
+}
+.small-box.bg-gradient-navy .icon {
+  color: rgba(255,255,255,0.3) !important;
+}
+
+/* Continue for all other colors... */
+.small-box.bg-gradient-indigo {
+  background: linear-gradient(135deg, var(--purple-core), var(--purple-deep)) !important;
+  color: white !important;
+}
+.small-box.bg-gradient-indigo .icon {
+  color: rgba(255,255,255,0.3) !important;
+}
+
+/* ── Sidebar Active Menu Item ── */
+/* Colors are driven by --sidebar-* variables set in app_ui.R */
+:root {
+  --sidebar-core: var(--azure-core);
+  --sidebar-lite: var(--azure-lite);
+  --sidebar-deep: var(--azure-deep);
+}
+
+.main-sidebar .nav-sidebar .nav-item.active .nav-link,
+.main-sidebar .nav-sidebar .nav-item .nav-link.active {
+  background-color: var(--sidebar-core) !important;
+  color: white !important;
+}
+
+/* Hover effect for menu items */
+.main-sidebar .nav-sidebar .nav-item .nav-link:hover {
+  background-color: var(--sidebar-lite) !important;
+  color: #333 !important;
+}
+
+/* Active menu item icon */
+.main-sidebar .nav-sidebar .nav-item.active .nav-link .nav-icon,
+.main-sidebar .nav-sidebar .nav-item .nav-link.active .nav-icon {
+  color: white !important;
+}
+
+/* For expanded menu items */
+.main-sidebar .nav-sidebar .nav-treeview .nav-item.active .nav-link,
+.main-sidebar .nav-sidebar .nav-treeview .nav-item .nav-link.active {
+  background-color: var(--sidebar-deep) !important;
+  color: white !important;
+}
+
+/* ── Select Samples tabsetPanel (By Sample / By Family) */
+
+/* inactive tab - grey background */
+#cnv_1-sample_select_tabs > li > a:not(.active) {
+  padding: 7px 22px !important;
+  margin-right: 6px !important;
+  background-color: #e9ecef !important;
+  border: 1px solid #dee2e6 !important;
+  border-bottom: none !important;
+  border-radius: 4px 4px 0 0 !important;
+  font-weight: 500 !important;
+  color: #495057 !important;
+}
+
+/* active tab */
+#cnv_1-sample_select_tabs > li > a.active {
+  padding: 7px 22px !important;
+  margin-right: 6px !important;
+  background-color: #ffffff !important;
+  border: 1px solid #dee2e6 !important;
+  border-bottom: 1px solid #ffffff !important;
+  border-radius: 4px 4px 0 0 !important;
+  font-weight: 600 !important;
+  color: #007bff !important;
+}
+
+/* hover on inactive tab */
+#cnv_1-sample_select_tabs > li > a:not(.active):hover {
+  background-color: #d6d8db !important;
+  color: #343a40 !important;
+}
+
+/* ── Ensure box collapse/expand buttons are always visible ── */
+.card-tools {
+  position: relative;
+  z-index: 10;
+  color: black;
+}
+
+/* ── Dashboard footer ── */
+.main-footer {
+  background-color: white;
+  color: grey;
+  height: 65px;
+  padding-top: 5px;
+  padding-bottom: 5px;
+}
+
+.main-footer a {
+  color: grey;
+}
+
+#MainMenu .header {
+  color: grey;
+  margin-top: 10px;
+  margin-bottom: 10px;
+  padding-left: 15px;
+}
+
+/* ── Most specific selector for AdminLTE override ── */
+.nav.nav-pills.nav-sidebar.flex-column.sidebar-menu .header {
+  color: grey;
+  margin-top: 10px;
+  margin-bottom: 10px;
+  padding-left: 15px;
+}
+
+/* ── Footer styling ── */
+.dashboard-footer-right {
+  display: flex;
+  align-items: center;
+}
+
+.dashboard-footer-text {
+  display: flex;
+  flex-direction: column;
+  margin-right: 15px;
+  text-align: right;
+}
+
+.dashboard-footer-logo {
+  margin-right: 15px;
+}
+
+.dashboard-footer-left {
+  display: flex;
+  align-items: center;
+  height: 100%;
+}
+
+/* ── Ensure box collapse/expand buttons are always on top ── */
+.card-tools { 
+  position: relative; 
+  z-index: 10; 
+}
+
+/* Make collapse/expand icons visible on white box headers */
+.card-tools .btn-tool { 
+  color: #495057 !important; 
+}
+
+.card-tools .btn-tool:hover { 
+  color: #212529 !important; 
+}
\ No newline at end of file
diff --git a/inst/app/www/custom.js b/inst/app/www/custom.js
new file mode 100644
index 0000000..f638789
--- /dev/null
+++ b/inst/app/www/custom.js
@@ -0,0 +1,45 @@
+$(document).ready(function() {
+  // Use event delegation for dynamically created elements
+  $(document).on('click', '.card-header', function(e) {
+    // Don't trigger if clicking on the actual collapse button
+    if (!$(e.target).closest('.card-tools').length) {
+      // Find the collapse button in this header and trigger click
+      var collapseBtn = $(this).find('[data-card-widget="collapse"]');
+      if (collapseBtn.length > 0) {
+        collapseBtn.trigger('click');
+      }
+    }
+  });
+  
+  // Function to apply styles to card headers (both existing and new ones)
+  function styleCardHeaders() {
+    $('.card-header').css('cursor', 'pointer');
+    $('.card-tools').css('cursor', 'default');
+  }
+  
+  // Apply styles initially
+  styleCardHeaders();
+  
+  // Watch for new elements and apply styles
+  var observer = new MutationObserver(function(mutations) {
+    mutations.forEach(function(mutation) {
+      if (mutation.addedNodes.length > 0) {
+        styleCardHeaders();
+      }
+    });
+  });
+  
+  // Start observing
+  observer.observe(document.body, {
+    childList: true,
+    subtree: true
+  });
+
+  // Your existing tab script
+  $('#cnv_1-sample_select_tabs li.active > a').addClass('active');
+
+  $(document).on('shown.bs.tab', '#cnv_1-sample_select_tabs a[data-toggle="tab"]', function(e) {
+    $('#cnv_1-sample_select_tabs a[data-toggle="tab"]').removeClass('active');
+    $(e.target).addClass('active');
+  });
+});
\ No newline at end of file

From 86f1ef92f9159a917dc87663826f69d717eeba36 Mon Sep 17 00:00:00 2001
From: "josue.chinchilla" <josue.chinchilla@IFASadmins-MacBook-Pro.local>
Date: Thu, 14 May 2026 09:56:15 -0400
Subject: [PATCH 02/26] Added mod_ped_cleaner and updated mod_help structure to
 work with individual help content for each module

---
 .DS_Store               | Bin 14340 -> 14340 bytes
 R/app_server.R          |   4 +-
 R/help_SNMF.R           | 293 ++++++++++++++++++
 R/help_ped_cleaner.R    | 219 ++++++++++++++
 R/help_polybreedtools.R | 271 +++++++++++++++++
 R/mod_SNMF.R            | 656 ++++++++++++++++++++++------------------
 R/mod_help.R            | 184 +++++++----
 R/mod_ped_cleaner.R     | 253 ++++++++--------
 R/mod_polybreedtools.R  | 392 ++++++++++++------------
 9 files changed, 1610 insertions(+), 662 deletions(-)
 create mode 100644 R/help_SNMF.R
 create mode 100644 R/help_ped_cleaner.R
 create mode 100644 R/help_polybreedtools.R

diff --git a/.DS_Store b/.DS_Store
index a3682aa74badf41e294fc33040b3af1b2b7fe28d..f6f3331370721ae7e68e83b2b1a61e867f1fbf50 100644
GIT binary patch
delta 303
zcmZoEXepTB&#1OB;ELE}cZE_8BTF+K1!D`7$ww6IH$N2D;$UJB-OQtKlHFE}A(<hc
zp$G_5fvgfBnZgjyPynVg8PdVxsSJ8RnF@vy&z$_^q@4UD1_lNJ1_q|0$;Z?;)$=l>
zF(fkNGGsF30C6HvZ4gj@5zy2uRP~HXKz(}u!2rl&U=RlC1nJ5l%~qh!c?eS`&)4AE
X+^E6CxH&*-2kT~bgLCZqBzg(}r)Ev3

delta 55
zcmZoEXepTB&#1gH;ELGf2F<;jABbylFbZwvQ8>vySy5y0<Qz@T&AysUjGLPzTi7<U
K8=M0P>jMBi1`_N5

diff --git a/R/app_server.R b/R/app_server.R
index d1d7805..f06ed5e 100644
--- a/R/app_server.R
+++ b/R/app_server.R
@@ -22,7 +22,9 @@ app_server <- function(input, output, session) {
   mod_ped_cleaner_server(
     "ped_cleaner_1", 
     parent_session = session)
-
+  mod_help_server(
+    "help_1",
+    parent_session = session) 
   # mod_DosageCall_server("DosageCall_1")
   # mod_Filtering_server("Filtering_1")
   # mod_dosage2vcf_server("dosage2vcf_1")
diff --git a/R/help_SNMF.R b/R/help_SNMF.R
new file mode 100644
index 0000000..3874697
--- /dev/null
+++ b/R/help_SNMF.R
@@ -0,0 +1,293 @@
+# help_content_SNMF.R
+#' SNMF help content
+#'
+#' Returns the UI content for the SNMF help section.
+#' Used by both mod_help and the SNMF module's own help button.
+#'
+#' @param collapse_fn A function with signature (panel_id, icon_name, label, body_content).
+#'   Defaults to the internal make_collapse_panel.
+#' @param id_prefix A string prefix to namespace panel IDs and avoid duplicate DOM ids.
+#'
+#' @noRd
+help_content_SNMF <- function(collapse_fn = NULL, id_prefix = "") {
+  pid <- function(x) if (nchar(id_prefix) > 0) paste0(id_prefix, "_", x) else x
+  
+  if (is.null(collapse_fn)) {
+    collapse_fn <- function(panel_id, icon_name, label, body_content) {
+      shiny::tags$div(
+        class = "card mb-1",
+        style = "border: 1px solid #dee2e6; border-radius: 4px;",
+        shiny::tags$div(
+          class = "card-header p-0",
+          style = "background-color: #f8f9fa;",
+          shiny::tags$button(
+            class           = "btn btn-link btn-sm w-100 text-left d-flex align-items-center",
+            style           = "color: #343a40; text-decoration: none; font-size: 13px; padding: 8px 12px; gap: 6px;",
+            `data-toggle`   = "collapse",
+            `data-target`   = paste0("#", panel_id),
+            `aria-expanded` = "false",
+            shiny::icon(icon_name),
+            shiny::tags$span(label)
+          )
+        ),
+        shiny::tags$div(
+          id    = panel_id,
+          class = "collapse",
+          shiny::tags$div(
+            class = "card-body",
+            style = "padding: 12px 14px; font-size: 13px;",
+            body_content
+          )
+        )
+      )
+    }
+  }
+  
+  # ── Shared cross-entropy table helper ─────────────────────────────
+  ce_table <- function(rows) {
+    shiny::tags$table(
+      class = "table table-bordered table-sm",
+      style = "width: auto; font-size: 12px; margin-bottom: 6px;",
+      shiny::tags$thead(
+        shiny::tags$tr(
+          shiny::tags$th("K"),
+          shiny::tags$th("best_run"),
+          shiny::tags$th("min_cross_entropy")
+        )
+      ),
+      shiny::tags$tbody(rows)
+    )
+  }
+  
+  ce_row <- function(k, run, ce, bg = NULL) {
+    style <- if (!is.null(bg)) paste0("background-color:", bg, ";") else ""
+    shiny::tags$tr(
+      style = style,
+      shiny::tags$td(k),
+      shiny::tags$td(run),
+      shiny::tags$td(ce)
+    )
+  }
+  
+  shiny::tagList(
+    
+    shiny::h6(shiny::tagList(shiny::icon("circle-info"), " Overview"),
+              style = "font-weight: bold;"),
+    shiny::p(
+      "The SNMF module runs unsupervised ancestry estimation using ",
+      shiny::tags$code("LEA::snmf()"),
+      ". It estimates Q-matrices (ancestry proportions per individual per cluster) across
+       a range of K values, optionally using cross-entropy to identify the best K.",
+      style = "font-size: 13px;"
+    ),
+    shiny::hr(style = "margin: 8px 0;"),
+    
+    # ── Steps ────────────────────────────────────────────────────────
+    shiny::h6(shiny::tagList(shiny::icon("list-ol"), " Steps"),
+              style = "font-weight: bold;"),
+    shiny::tags$ol(
+      style = "font-size: 13px;",
+      shiny::tags$li(shiny::HTML(
+        "<strong>Upload</strong> a genotype file in <code>.vcf</code>, <code>.vcf.gz</code>,
+         or LEA <code>.geno</code> format. VCF files are automatically converted to
+         <code>.geno</code> format."
+      )),
+      shiny::tags$li(shiny::HTML(
+        "<strong>Set Ploidy</strong> — enter the ploidy of the species (e.g., 2 for diploid)."
+      )),
+      shiny::tags$li(shiny::HTML(
+        "<strong>Set K range</strong> — define the minimum and maximum number of ancestry clusters to test."
+      )),
+      shiny::tags$li(shiny::HTML(
+        "<strong>Set Repetitions</strong> — number of independent runs per K value. More repetitions
+         improve reliability but increase runtime."
+      )),
+      shiny::tags$li(shiny::HTML(
+        "<strong>Choose Selection Mode</strong> — controls how the best K and run are determined
+         (see Selection Modes below)."
+      )),
+      shiny::tags$li(shiny::HTML("<strong>Run SNMF</strong> — executes the analysis.")),
+      shiny::tags$li(shiny::HTML(
+        "<strong>Review</strong> the Cross-Entropy, Ancestry Plot, Q Matrix, and Logs tabs."
+      )),
+      shiny::tags$li(shiny::HTML(
+        "<strong>Export</strong> the Q matrix as <code>.csv</code>, cross-entropy as <code>.csv</code>,
+         or the full LEA project as a <code>.zip</code>."
+      ))
+    ),
+    shiny::hr(style = "margin: 8px 0;"),
+    
+    # ── Selection Modes ──────────────────────────────────────────────
+    shiny::h6(
+      shiny::tagList(shiny::icon("sliders"), " Selection Modes"),
+      style = "font-weight: bold;"
+    ),
+    shiny::p("Click each mode to see how K and run are selected.",
+             style = "color: #6c757d; font-size: 12px; margin-bottom: 8px;"),
+    
+    collapse_fn(
+      panel_id     = pid("snmf_help_auto_entropy"),
+      icon_name    = "wand-magic-sparkles",
+      label        = "Auto-pick best K (cross-entropy)",
+      body_content = shiny::tagList(
+        shiny::p(
+          "Cross-entropy is computed for every K and repetition. The K with the lowest
+           minimum cross-entropy is automatically selected as the best K, and the run
+           with the lowest cross-entropy for that K is pre-selected.",
+          style = "margin-bottom: 6px;"
+        ),
+        shiny::tags$strong("Example cross-entropy summary:"),
+        ce_table(shiny::tagList(
+          ce_row("1", "3", "0.4812"),
+          ce_row("2", "1", "0.3204", bg = "#d4edda"),
+          ce_row("3", "2", "0.3391")
+        )),
+        shiny::p(
+          "K = 2 has the lowest minimum cross-entropy and is auto-selected (highlighted).",
+          style = "color: #155724; font-size: 11px;"
+        )
+      )
+    ),
+    
+    collapse_fn(
+      panel_id     = pid("snmf_help_manual_entropy"),
+      icon_name    = "hand-pointer",
+      label        = "Manual K/run (cross-entropy)",
+      body_content = shiny::tagList(
+        shiny::p(
+          "Cross-entropy is still computed and displayed for all K values and runs, but you
+           manually choose the K and run to visualise using the Plot Controls selectors.
+           The best run per K is pre-selected as a convenience.",
+          style = "margin-bottom: 6px;"
+        ),
+        shiny::p(
+          "Use this mode when you want to inspect the cross-entropy curve yourself before
+           committing to a specific K.",
+          style = "color: #856404; font-size: 11px;"
+        )
+      )
+    ),
+    
+    collapse_fn(
+      panel_id     = pid("snmf_help_no_entropy"),
+      icon_name    = "ban",
+      label        = "No cross-entropy (manual)",
+      body_content = shiny::tagList(
+        shiny::p(
+          "Cross-entropy is disabled entirely, which can reduce runtime. No cross-entropy
+           plot or table will be produced. You select the K and run to display manually
+           via the Plot Controls selectors.",
+          style = "margin-bottom: 6px;"
+        ),
+        shiny::p(
+          "Useful when you already know the target K or when running many repetitions at large K.",
+          style = "color: #6c757d; font-size: 11px;"
+        )
+      )
+    ),
+    
+    shiny::hr(style = "margin: 8px 0;"),
+    
+    # ── Parameter Reference ──────────────────────────────────────────
+    shiny::h6(
+      shiny::tagList(shiny::icon("gear"), " Parameter Reference"),
+      style = "font-weight: bold;"
+    ),
+    shiny::p("Click each parameter to see what it controls.",
+             style = "color: #6c757d; font-size: 12px; margin-bottom: 8px;"),
+    
+    collapse_fn(
+      panel_id     = pid("snmf_help_alpha"),
+      icon_name    = "a",
+      label        = "Alpha",
+      body_content = shiny::p(
+        "Regularisation parameter. Higher values enforce sparser (more uniform) ancestry
+         estimates. Default is 100. Increase if results appear too noisy; decrease if
+         estimates are overly smoothed.",
+        style = "margin: 0;"
+      )
+    ),
+    
+    collapse_fn(
+      panel_id     = pid("snmf_help_iterations"),
+      icon_name    = "rotate",
+      label        = "Iterations",
+      body_content = shiny::p(
+        "Maximum number of iterations for the optimisation algorithm per run. Default is 200.
+         Increase if the algorithm has not converged (check Logs tab for convergence messages).",
+        style = "margin: 0;"
+      )
+    ),
+    
+    collapse_fn(
+      panel_id     = pid("snmf_help_tolerance"),
+      icon_name    = "arrows-left-right-to-line",
+      label        = "Tolerance",
+      body_content = shiny::p(
+        "Convergence threshold. The algorithm stops when the change in the objective function
+         falls below this value. Default is 1e-4. Lower values require tighter convergence
+         but may increase runtime.",
+        style = "margin: 0;"
+      )
+    ),
+    
+    collapse_fn(
+      panel_id     = pid("snmf_help_percentage"),
+      icon_name    = "percent",
+      label        = "Percentage",
+      body_content = shiny::p(
+        "Proportion of masked genotypes used to compute cross-entropy (i.e., the test set
+         fraction). Default is 0.05 (5%). Only relevant when cross-entropy is enabled.",
+        style = "margin: 0;"
+      )
+    ),
+    
+    collapse_fn(
+      panel_id     = pid("snmf_help_cpu"),
+      icon_name    = "microchip",
+      label        = "CPU",
+      body_content = shiny::p(
+        "Number of CPU threads to use. Increasing this can speed up runs with many K values
+         or repetitions, subject to available hardware.",
+        style = "margin: 0;"
+      )
+    ),
+    
+    collapse_fn(
+      panel_id     = pid("snmf_help_seed"),
+      icon_name    = "seedling",
+      label        = "Seed",
+      body_content = shiny::p(
+        "Random seed for reproducibility. Using the same seed with the same inputs will
+         produce identical results across runs.",
+        style = "margin: 0;"
+      )
+    ),
+    
+    shiny::hr(style = "margin: 8px 0;"),
+    
+    # ── Export Contents ──────────────────────────────────────────────
+    shiny::h6(shiny::tagList(shiny::icon("download"), " Export Contents"),
+              style = "font-weight: bold;"),
+    shiny::tags$ul(
+      style = "font-size: 13px;",
+      shiny::tags$li(shiny::HTML(
+        "<code>Download Q (CSV)</code> — Q-matrix for the currently selected K and run,
+         with sample IDs and one column per cluster."
+      )),
+      shiny::tags$li(shiny::HTML(
+        "<code>Download cross-entropy (CSV)</code> — full cross-entropy table across all
+         K values and repetitions (only available when cross-entropy is enabled)."
+      )),
+      shiny::tags$li(shiny::HTML(
+        "<code>Save Project (.zip)</code> — complete LEA project directory, allowing you
+         to reload results in R using <code>LEA::load.snmfProject()</code>."
+      )),
+      shiny::tags$li(shiny::HTML(
+        "<code>Save Image</code> — exports the Cross-Entropy Plot or Ancestry Plot as
+         <code>jpeg</code>, <code>tiff</code>, <code>png</code>, or <code>svg</code>
+         at configurable resolution, width, and height."
+      ))
+    )
+  )
+}
\ No newline at end of file
diff --git a/R/help_ped_cleaner.R b/R/help_ped_cleaner.R
new file mode 100644
index 0000000..e2ac166
--- /dev/null
+++ b/R/help_ped_cleaner.R
@@ -0,0 +1,219 @@
+# help_content_ped_cleaner.R  
+#' Pedigree Cleaner help content
+#'
+#' Returns the UI content for the Pedigree Cleaner help section.
+#' Used by both mod_help and the Pedigree Cleaner module's own help button.
+#'
+#' @param collapse_fn A function with signature (panel_id, icon_name, label, body_content).
+#'   Defaults to the internal make_collapse_panel.
+#' @param id_prefix A string prefix to namespace panel IDs and avoid duplicate DOM ids.
+#'
+#' @noRd
+help_content_ped_cleaner <- function(collapse_fn = NULL, id_prefix = "") {
+  
+  pid <- function(x) if (nchar(id_prefix) > 0) paste0(id_prefix, "_", x) else x
+  
+  if (is.null(collapse_fn)) {
+    collapse_fn <- function(panel_id, icon_name, label, body_content) {
+      shiny::tags$div(
+        class = "card mb-1",
+        style = "border: 1px solid #dee2e6; border-radius: 4px;",
+        shiny::tags$div(
+          class = "card-header p-0",
+          style = "background-color: #f8f9fa;",
+          shiny::tags$button(
+            class           = "btn btn-link btn-sm w-100 text-left d-flex align-items-center",
+            style           = "color: #343a40; text-decoration: none; font-size: 13px; padding: 8px 12px; gap: 6px;",
+            `data-toggle`   = "collapse",
+            `data-target`   = paste0("#", panel_id),
+            `aria-expanded` = "false",
+            shiny::icon(icon_name),
+            shiny::tags$span(label)
+          )
+        ),
+        shiny::tags$div(
+          id    = panel_id,
+          class = "collapse",
+          shiny::tags$div(
+            class = "card-body",
+            style = "padding: 12px 14px; font-size: 13px;",
+            body_content
+          )
+        )
+      )
+    }
+  }
+  
+  # ── Shared pedigree table helpers ──────────────────────────────────
+  ped_table <- function(rows) {
+    shiny::tags$table(
+      class = "table table-bordered table-sm",
+      style = "width: auto; font-size: 12px; margin-bottom: 6px;",
+      shiny::tags$thead(
+        shiny::tags$tr(
+          shiny::tags$th("id"),
+          shiny::tags$th("male_parent"),
+          shiny::tags$th("female_parent")
+        )
+      ),
+      shiny::tags$tbody(rows)
+    )
+  }
+  
+  ped_row <- function(id, sire, dam, bg = NULL) {
+    style <- if (!is.null(bg)) paste0("background-color:", bg, ";") else ""
+    shiny::tags$tr(
+      style = style,
+      shiny::tags$td(id),
+      shiny::tags$td(sire),
+      shiny::tags$td(dam)
+    )
+  }
+  
+  shiny::tagList(
+    
+    shiny::h6(shiny::tagList(shiny::icon("circle-info"), " Overview"),
+              style = "font-weight: bold;"),
+    shiny::p(
+      "The Pedigree Cleaner automatically detects and corrects common pedigree issues.
+      Problems are fixed in place — the corrected pedigree and per-issue reports
+      are bundled into a single zip file for download.",
+      style = "font-size: 13px;"
+    ),
+    shiny::hr(style = "margin: 8px 0;"),
+    
+    # ── Steps ────────────────────────────────────────────────────────
+    shiny::h6(shiny::tagList(shiny::icon("list-ol"), " Steps"),
+              style = "font-weight: bold;"),
+    shiny::tags$ol(
+      style = "font-size: 13px;",
+      shiny::tags$li(shiny::HTML(
+        "<strong>Upload</strong> a tab-separated <code>.txt</code>, <code>.tsv</code>, or <code>.csv</code>
+        file with three columns: <code>id</code>, <code>male_parent</code>, <code>female_parent</code>."
+      )),
+      shiny::tags$li(shiny::HTML("<strong>Run Pedigree Check</strong> — scans for all five issue types below.")),
+      shiny::tags$li(shiny::HTML("<strong>Review</strong> the summary banner and expandable result tables.")),
+      shiny::tags$li(shiny::HTML("<strong>Export</strong> the corrected pedigree and reports as a <code>.zip</code> file."))
+    ),
+    shiny::hr(style = "margin: 8px 0;"),
+    
+    # ── Issue Types ──────────────────────────────────────────────────
+    shiny::h6(
+      shiny::tagList(shiny::icon("triangle-exclamation"), " Issue Types — What Is Detected & How It Is Corrected"),
+      style = "font-weight: bold;"
+    ),
+    shiny::p("Click each issue type to expand a before/after example.",
+             style = "color: #6c757d; font-size: 12px; margin-bottom: 8px;"),
+    
+    collapse_fn(
+      panel_id     = pid("pc_help_exact_dup"),  # <-- prefixed
+      icon_name    = "copy",
+      label        = "Exact Duplicates Removed",
+      body_content = shiny::tagList(
+        shiny::p("Fully identical rows are removed, keeping only one copy.",
+                 style = "margin-bottom: 6px;"),
+        shiny::tags$strong("Before:"),
+        ped_table(shiny::tagList(
+          ped_row("A1", "B1", "C1"),
+          ped_row("A1", "B1", "C1", bg = "#f8d7da")
+        )),
+        shiny::p("The highlighted row is an exact copy — only one row will be kept.",
+                 style = "color: #721c24; font-size: 11px; margin-bottom: 6px;"),
+        shiny::tags$strong("After:"),
+        ped_table(ped_row("A1", "B1", "C1"))
+      )
+    ),
+    
+    collapse_fn(
+      panel_id     = pid("pc_help_conflict"),  # <-- prefixed
+      icon_name    = "exclamation",
+      label        = "Conflicting IDs Resolved",
+      body_content = shiny::tagList(
+        shiny::p("The same individual ID appears with different parents.
+        When a conflict is detected the ambiguous parent is set to 0 (unknown).",
+                 style = "margin-bottom: 6px;"),
+        shiny::tags$strong("Before:"),
+        ped_table(shiny::tagList(
+          ped_row("A1", "B1", "C1"),
+          ped_row("A1", "B2", "C1", bg = "#f8d7da")
+        )),
+        shiny::p(shiny::HTML("<strong>A1</strong> has two different male parents (B1 and B2) — male_parent cannot be determined."),
+                 style = "color: #856404; font-size: 11px; margin-bottom: 6px;"),
+        shiny::tags$strong("After:"),
+        ped_table(ped_row("A1", "0", "C1", bg = "#fff3cd")),
+        shiny::p("The conflicting male_parent is set to 0 (unknown). female_parent is unchanged since it was consistent.",
+                 style = "color: #856404; font-size: 11px;")
+      )
+    ),
+    
+    collapse_fn(
+      panel_id     = pid("pc_help_messy"),  # <-- prefixed
+      icon_name    = "shuffle",
+      label        = "Inconsistent Parent Sex Roles",
+      body_content = shiny::tagList(
+        shiny::p("An individual appears in the male_parent column in one record and the female_parent
+        column in another, indicating an inconsistent sex/role assignment across the pedigree.",
+                 style = "margin-bottom: 6px;"),
+        shiny::tags$strong("Before:"),
+        ped_table(shiny::tagList(
+          ped_row("A1", "B1", "C1"),
+          ped_row("A2", "C1", "B1", bg = "#f8d7da")
+        )),
+        shiny::p(shiny::HTML("<strong>B1</strong> and <strong>C1</strong> swap male_parent/female_parent roles across records — flagged for review."),
+                 style = "color: #856404; font-size: 11px;")
+      )
+    ),
+    
+    collapse_fn(
+      panel_id     = pid("pc_help_missing"),  # <-- prefixed
+      icon_name    = "user-plus",
+      label        = "Missing Parents Added",
+      body_content = shiny::tagList(
+        shiny::p("A parent is referenced in the male_parent or female_parent column but never appears as an individual.",
+                 style = "margin-bottom: 6px;"),
+        shiny::tags$strong("Before:"),
+        ped_table(ped_row("A1", "B1", "C1")),
+        shiny::p(shiny::HTML("<strong>B1</strong> and <strong>C1</strong> are referenced but have no row of their own — missing parents are added automatically with unknown parents (0)."),
+                 style = "color: #0c5460; font-size: 11px; margin-bottom: 6px;"),
+        shiny::tags$strong("After:"),
+        ped_table(shiny::tagList(
+          ped_row("A1", "B1", "C1"),
+          ped_row("B1", "0",  "0",  bg = "#d4edda"),
+          ped_row("C1", "0",  "0",  bg = "#d4edda")
+        ))
+      )
+    ),
+    
+    collapse_fn(
+      panel_id     = pid("pc_help_cycles"),  # <-- prefixed
+      icon_name    = "rotate",
+      label        = "Cycles / Dependencies Detected",
+      body_content = shiny::tagList(
+        shiny::p("An animal appears as its own ancestor, creating a circular relationship. These are detected and flagged.",
+                 style = "margin-bottom: 6px;"),
+        shiny::tags$strong("Example:"),
+        ped_table(shiny::tagList(
+          ped_row("A1", "B1", "C1"),
+          ped_row("B1", "A1", "C2", bg = "#f8d7da")
+        )),
+        shiny::p(shiny::HTML("<strong>A1</strong> is listed as the male_parent of <strong>B1</strong>, but <strong>B1</strong>
+        is also listed as the male_parent of <strong>A1</strong> — flagged for review."),
+                 style = "color: #721c24; font-size: 11px;")
+      )
+    ),
+    
+    shiny::hr(style = "margin: 8px 0;"),
+    
+    # ── Export Contents ──────────────────────────────────────────────
+    shiny::h6(shiny::tagList(shiny::icon("download"), " Export Contents"),
+              style = "font-weight: bold;"),
+    shiny::tags$ul(
+      style = "font-size: 13px;",
+      shiny::tags$li(shiny::HTML("<code>corrected_pedigree.txt</code> — the cleaned pedigree, tab-separated.")),
+      shiny::tags$li(shiny::HTML("One <code>.txt</code> report per issue type (only included if issues were found):
+      <code>exact_duplicates.txt</code>, <code>conflicting_ids.txt</code>,
+      <code>inconsistent_sex_roles.txt</code>, <code>missing_parents.txt</code>,
+      <code>dependencies.txt</code>."))
+    )
+  )
+}
\ No newline at end of file
diff --git a/R/help_polybreedtools.R b/R/help_polybreedtools.R
new file mode 100644
index 0000000..6713329
--- /dev/null
+++ b/R/help_polybreedtools.R
@@ -0,0 +1,271 @@
+# help_content_polybreedtools.R
+#' PolyBreedTools help content
+#'
+#' Returns the UI content for the PolyBreedTools help section.
+#' Used by both mod_help and the PolyBreedTools module's own help button.
+#'
+#' @param collapse_fn A function with signature (panel_id, icon_name, label, body_content).
+#'   Defaults to the internal make_collapse_panel.
+#' @param id_prefix A string prefix to namespace panel IDs and avoid duplicate DOM ids.
+#'
+#' @noRd
+help_content_polybreedtools <- function(collapse_fn = NULL, id_prefix = "") {
+  pid <- function(x) if (nchar(id_prefix) > 0) paste0(id_prefix, "_", x) else x
+  
+  if (is.null(collapse_fn)) {
+    collapse_fn <- function(panel_id, icon_name, label, body_content) {
+      shiny::tags$div(
+        class = "card mb-1",
+        style = "border: 1px solid #dee2e6; border-radius: 4px;",
+        shiny::tags$div(
+          class = "card-header p-0",
+          style = "background-color: #f8f9fa;",
+          shiny::tags$button(
+            class           = "btn btn-link btn-sm w-100 text-left d-flex align-items-center",
+            style           = "color: #343a40; text-decoration: none; font-size: 13px; padding: 8px 12px; gap: 6px;",
+            `data-toggle`   = "collapse",
+            `data-target`   = paste0("#", panel_id),
+            `aria-expanded` = "false",
+            shiny::icon(icon_name),
+            shiny::tags$span(label)
+          )
+        ),
+        shiny::tags$div(
+          id    = panel_id,
+          class = "collapse",
+          shiny::tags$div(
+            class = "card-body",
+            style = "padding: 12px 14px; font-size: 13px;",
+            body_content
+          )
+        )
+      )
+    }
+  }
+  
+  # ── Shared input format table helper ──────────────────────────────────
+  geno_table <- function(rows) {
+    shiny::tags$table(
+      class = "table table-bordered table-sm",
+      style = "width: auto; font-size: 12px; margin-bottom: 6px;",
+      shiny::tags$thead(
+        shiny::tags$tr(
+          shiny::tags$th("ID"),
+          shiny::tags$th("Marker1"),
+          shiny::tags$th("Marker2"),
+          shiny::tags$th("Marker3")
+        )
+      ),
+      shiny::tags$tbody(rows)
+    )
+  }
+  
+  geno_row <- function(id, m1, m2, m3, bg = NULL) {
+    style <- if (!is.null(bg)) paste0("background-color:", bg, ";") else ""
+    shiny::tags$tr(
+      style = style,
+      shiny::tags$td(id),
+      shiny::tags$td(m1),
+      shiny::tags$td(m2),
+      shiny::tags$td(m3)
+    )
+  }
+  
+  ref_ids_table <- function(rows) {
+    shiny::tags$table(
+      class = "table table-bordered table-sm",
+      style = "width: auto; font-size: 12px; margin-bottom: 6px;",
+      shiny::tags$thead(
+        shiny::tags$tr(
+          shiny::tags$th("Group1"),
+          shiny::tags$th("Group2")
+        )
+      ),
+      shiny::tags$tbody(rows)
+    )
+  }
+  
+  ref_ids_row <- function(g1, g2, bg = NULL) {
+    style <- if (!is.null(bg)) paste0("background-color:", bg, ";") else ""
+    shiny::tags$tr(
+      style = style,
+      shiny::tags$td(g1),
+      shiny::tags$td(g2)
+    )
+  }
+  
+  shiny::tagList(
+    
+    shiny::h6(shiny::tagList(shiny::icon("circle-info"), " Overview"),
+              style = "font-weight: bold;"),
+    shiny::p(
+      "PolyBreedTools estimates the proportion of each line or breed in a validation population
+       using a reference panel of known genotypes. It supports any ploidy level and produces
+       both a results table and a stacked ancestry bar plot.",
+      style = "font-size: 13px;"
+    ),
+    shiny::hr(style = "margin: 8px 0;"),
+    
+    # ── Steps ────────────────────────────────────────────────────────
+    shiny::h6(shiny::tagList(shiny::icon("list-ol"), " Steps"),
+              style = "font-weight: bold;"),
+    shiny::tags$ol(
+      style = "font-size: 13px;",
+      shiny::tags$li(shiny::HTML(
+        "<strong>Upload Reference Genotypes</strong> — a tab-separated <code>.txt</code> file with
+         SNPs in rows and samples in columns. The first column must be <code>ID</code>.
+         Missing values should be coded as <code>NA</code>."
+      )),
+      shiny::tags$li(shiny::HTML(
+        "<strong>Upload Reference IDs</strong> — a tab-separated <code>.txt</code> file assigning
+         each reference sample to a group/line. Each column is one group; values are sample IDs."
+      )),
+      shiny::tags$li(shiny::HTML(
+        "<strong>Upload Validation Genotypes</strong> — same format as the reference genotype file."
+      )),
+      shiny::tags$li(shiny::HTML(
+        "<strong>Set Ploidy</strong> — enter the ploidy level of the species (e.g., 2 for diploid, 4 for tetraploid)."
+      )),
+      shiny::tags$li(shiny::HTML("<strong>Run Estimation</strong> — computes ancestry proportions for each validation sample.")),
+      shiny::tags$li(shiny::HTML("<strong>Review</strong> the Results Table and Ancestry Plot tabs.")),
+      shiny::tags$li(shiny::HTML("<strong>Export</strong> results as an <code>.xlsx</code> file or save the plot image."))
+    ),
+    shiny::hr(style = "margin: 8px 0;"),
+    
+    # ── Input Format Details ─────────────────────────────────────────
+    shiny::h6(
+      shiny::tagList(shiny::icon("file-lines"), " Input Format Details"),
+      style = "font-weight: bold;"
+    ),
+    shiny::p("Click each input type to see a format example.",
+             style = "color: #6c757d; font-size: 12px; margin-bottom: 8px;"),
+    
+    collapse_fn(
+      panel_id     = pid("pbt_help_ref_genos"),
+      icon_name    = "dna",
+      label        = "Reference & Validation Genotypes (.txt)",
+      body_content = shiny::tagList(
+        shiny::p(
+          "Tab-separated file with an ID column followed by one column per SNP marker.
+           Genotypes are encoded as dosage counts (e.g., 0, 1, 2 for diploid).
+           Missing genotypes should be coded as NA.",
+          style = "margin-bottom: 6px;"
+        ),
+        shiny::tags$strong("Example:"),
+        geno_table(shiny::tagList(
+          geno_row("Sample1", "0", "NA", "1"),
+          geno_row("Sample2", "1", "1",  "0"),
+          geno_row("Sample3", "2", "0",  "NA")
+        )),
+        shiny::p(
+          "The first column must be named ID. All other columns are treated as SNP markers.",
+          style = "color: #6c757d; font-size: 11px;"
+        )
+      )
+    ),
+    
+    collapse_fn(
+      panel_id     = pid("pbt_help_ref_ids"),
+      icon_name    = "users",
+      label        = "Reference IDs (.txt)",
+      body_content = shiny::tagList(
+        shiny::p(
+          "Tab-separated file where each column represents one reference group or line.
+           Column headers are the group names. Each column lists the sample IDs belonging to that group.
+           Columns may have different lengths — empty cells are ignored.",
+          style = "margin-bottom: 6px;"
+        ),
+        shiny::tags$strong("Example:"),
+        ref_ids_table(shiny::tagList(
+          ref_ids_row("SampleAlpha", "SampleOne"),
+          ref_ids_row("S3",          "SampleTwo"),
+          ref_ids_row("ExampleFour", "SampleThree")
+        )),
+        shiny::p(
+          "Sample IDs in this file must match IDs present in the Reference Genotypes file.",
+          style = "color: #6c757d; font-size: 11px;"
+        )
+      )
+    ),
+    
+    shiny::hr(style = "margin: 8px 0;"),
+    
+    # ── Warnings & Automatic Filtering ──────────────────────────────
+    shiny::h6(
+      shiny::tagList(shiny::icon("triangle-exclamation"), " Automatic Filtering & Warnings"),
+      style = "font-weight: bold;"
+    ),
+    shiny::p("Click each item to learn what is filtered automatically.",
+             style = "color: #6c757d; font-size: 12px; margin-bottom: 8px;"),
+    
+    collapse_fn(
+      panel_id     = pid("pbt_help_low_callrate"),
+      icon_name    = "filter",
+      label        = "Low Call Rate Samples Removed",
+      body_content = shiny::tagList(
+        shiny::p(
+          "Validation samples with a genotyping call rate below 50% are automatically removed
+           before estimation. A warning listing the removed sample IDs will appear in the Status panel.",
+          style = "margin-bottom: 6px;"
+        ),
+        shiny::p(
+          "If too many samples are removed, check your validation file for excessive missing data.",
+          style = "color: #856404; font-size: 11px;"
+        )
+      )
+    ),
+    
+    collapse_fn(
+      panel_id     = pid("pbt_help_empty_markers"),
+      icon_name    = "filter",
+      label        = "Empty Markers Removed",
+      body_content = shiny::tagList(
+        shiny::p(
+          "After sample filtering, any marker (column) with no successful genotype calls across
+           all remaining validation samples is removed. A warning listing the removed markers
+           will appear in the Status panel.",
+          style = "margin-bottom: 6px;"
+        ),
+        shiny::p(
+          "If many markers are removed, verify that reference and validation files share the same marker set.",
+          style = "color: #856404; font-size: 11px;"
+        )
+      )
+    ),
+    
+    collapse_fn(
+      panel_id     = pid("pbt_help_dup_ids"),
+      icon_name    = "exclamation",
+      label        = "Duplicate Sample IDs",
+      body_content = shiny::tagList(
+        shiny::p(
+          "If duplicate sample IDs are detected in the validation file, estimation is halted
+           and an error message listing the duplicated IDs is shown in the Status panel.",
+          style = "margin-bottom: 6px;"
+        ),
+        shiny::p(
+          "Remove or rename duplicate IDs in your validation file before re-running.",
+          style = "color: #721c24; font-size: 11px;"
+        )
+      )
+    ),
+    
+    shiny::hr(style = "margin: 8px 0;"),
+    
+    # ── Export Contents ──────────────────────────────────────────────
+    shiny::h6(shiny::tagList(shiny::icon("download"), " Export Contents"),
+              style = "font-weight: bold;"),
+    shiny::tags$ul(
+      style = "font-size: 13px;",
+      shiny::tags$li(shiny::HTML(
+        "<strong>Results Table</strong> — downloadable as <code>.xlsx</code> via <em>Save Files</em>.
+         Contains each validation sample's estimated ancestry proportion per group and its predicted line."
+      )),
+      shiny::tags$li(shiny::HTML(
+        "<strong>Ancestry Plot</strong> — stacked bar chart of ancestry proportions.
+         Exportable as <code>png</code>, <code>jpeg</code>, <code>svg</code>, or <code>pdf</code>
+         via <em>Save Image</em>. Resolution, width, and height are configurable."
+      ))
+    )
+  )
+}
diff --git a/R/mod_SNMF.R b/R/mod_SNMF.R
index f209d84..9de52d8 100644
--- a/R/mod_SNMF.R
+++ b/R/mod_SNMF.R
@@ -12,84 +12,95 @@
 #' @importFrom bs4Dash valueBoxOutput
 mod_SNMF_ui <- function(id) {
   ns <- shiny::NS(id)
-
+  
   shiny::tagList(
     shiny::fluidRow(
       shinydisconnect::disconnectMessage(
-        text = "An unexpected error occurred, please reload the application and check the input file(s).",
-        refresh = "Reload now",
-        background = "white",
-        colour = "grey",
-        overlayColour = "grey",
+        text           = "An unexpected error occurred, please reload the application and check the input file(s).",
+        refresh        = "Reload now",
+        background     = "white",
+        colour         = "grey",
+        overlayColour  = "grey",
         overlayOpacity = 0.3,
-        refreshColour = "purple"
+        refreshColour  = "purple"
       ),
+      
+      #  Column 1: Inputs 
       shiny::column(
         width = 3,
         bs4Dash::box(
-          title = "Inputs",
-          width = 12,
+          title       = "Inputs",
+          width       = 12,
           collapsible = TRUE,
-          collapsed = FALSE,
-          status = "info",
+          collapsed   = FALSE,
+          status      = "info",
           solidHeader = TRUE,
           shiny::fileInput(
             ns("snmf_file"),
             "Genotypes (.vcf, .vcf.gz, .geno)",
             accept = c(".vcf", ".gz", ".geno")
           ),
-          shiny::numericInput(ns("snmf_ploidy"), "Ploidy", value = 2, min = 1, step = 1),
+          shiny::numericInput(ns("snmf_ploidy"),      "Ploidy",      value = 2,    min = 1,  step = 1),
           shiny::fluidRow(
-            shiny::column(6, shiny::numericInput(ns("snmf_k_min"), "K min", value = 1, min = 1, step = 1)),
+            shiny::column(6, shiny::numericInput(ns("snmf_k_min"), "K min", value = 1,  min = 1, step = 1)),
             shiny::column(6, shiny::numericInput(ns("snmf_k_max"), "K max", value = 10, min = 1, step = 1))
           ),
-          shiny::numericInput(ns("snmf_repetitions"), "Repetitions", value = 5, min = 1, step = 1),
-          shiny::numericInput(ns("snmf_alpha"), "Alpha", value = 100, min = 0),
-          shiny::numericInput(ns("snmf_iterations"), "Iterations", value = 200, min = 1, step = 1),
-          shiny::numericInput(ns("snmf_tolerance"), "Tolerance", value = 1e-4, min = 0),
-          shiny::numericInput(ns("snmf_percentage"), "Percentage", value = 0.05, min = 0, max = 1, step = 0.01),
-          shiny::numericInput(ns("snmf_cpu"), "CPU", value = 1, min = 1, step = 1),
-          shiny::numericInput(ns("snmf_seed"), "Seed", value = 123, min = 1, step = 1),
+          shiny::numericInput(ns("snmf_repetitions"), "Repetitions", value = 5,    min = 1,    step = 1),
+          shiny::numericInput(ns("snmf_alpha"),       "Alpha",       value = 100,  min = 0),
+          shiny::numericInput(ns("snmf_iterations"),  "Iterations",  value = 200,  min = 1,    step = 1),
+          shiny::numericInput(ns("snmf_tolerance"),   "Tolerance",   value = 1e-4, min = 0),
+          shiny::numericInput(ns("snmf_percentage"),  "Percentage",  value = 0.05, min = 0, max = 1, step = 0.01),
+          shiny::numericInput(ns("snmf_cpu"),         "CPU",         value = 1,    min = 1,    step = 1),
+          shiny::numericInput(ns("snmf_seed"),        "Seed",        value = 123,  min = 1,    step = 1),
           shiny::radioButtons(
             ns("snmf_select_mode"),
             "Selection mode",
             choices = c(
               "Auto-pick best K (cross-entropy)" = "auto_entropy",
-              "Manual K/run (cross-entropy)" = "manual_entropy",
-              "No cross-entropy (manual)" = "no_entropy"
+              "Manual K/run (cross-entropy)"     = "manual_entropy",
+              "No cross-entropy (manual)"        = "no_entropy"
             ),
             selected = "auto_entropy"
           ),
           shiny::actionButton(ns("snmf_run"), "Run SNMF"),
           shiny::hr(),
-          shiny::downloadButton(ns("download_q_csv"), "Download Q (CSV)"),
-          shiny::downloadButton(ns("download_ce_csv"), "Download cross-entropy (CSV)")
-        )
-      ),
+          shiny::downloadButton(ns("download_q_csv"),  "Download Q (CSV)"),
+          shiny::downloadButton(ns("download_ce_csv"), "Download cross-entropy (CSV)"),
+          shiny::hr(),
+          shiny::div(
+            style = "text-align: center; margin-top: 5px;",
+            shiny::actionButton(
+              ns("help_btn"),
+              shiny::tagList(shiny::icon("circle-question"), "Help"),
+              style = "background-color: #FFD700; color: #000000; border:none; padding: 8px 16px; border-radius: 5px;"
+            )
+          )
+        )  # closes box
+      ),  # closes column(width = 3)
+      
+      #  Column 2: Results 
       shiny::column(
         width = 6,
         bs4Dash::box(
-          title = "Results",
-          status = "info",
+          title       = "Results",
+          status      = "info",
           solidHeader = FALSE,
-          width = 12,
-          height = 600,
+          width       = 12,
+          height      = 600,
           maximizable = TRUE,
           bs4Dash::tabsetPanel(
-            id = ns("snmf_results_tabs"),
+            id   = ns("snmf_results_tabs"),
             type = "tabs",
             shiny::tabPanel(
               "Instructions",
-              shiny::HTML(
-                paste0(
-                  "<p>This tab runs <code>LEA::snmf()</code> to estimate ancestry proportions (Q-matrix) across K.</p>",
-                  "<ul>",
-                  "<li>Upload a <code>.vcf</code> / <code>.vcf.gz</code> (will be converted to LEA <code>.geno</code>) or an existing <code>.geno</code>.</li>",
-                  "<li>Choose a K range and repetitions.</li>",
-                  "<li>In cross-entropy modes, the app summarizes cross-entropy per K and can auto-pick the best K/run.</li>",
-                  "</ul>"
-                )
-              ),
+              shiny::HTML(paste0(
+                "<p>This tab runs <code>LEA::snmf()</code> to estimate ancestry proportions (Q-matrix) across K.</p>",
+                "<ul>",
+                "<li>Upload a <code>.vcf</code> / <code>.vcf.gz</code> (will be converted to LEA <code>.geno</code>) or an existing <code>.geno</code>.</li>",
+                "<li>Choose a K range and repetitions.</li>",
+                "<li>In cross-entropy modes, the app summarizes cross-entropy per K and can auto-pick the best K/run.</li>",
+                "</ul>"
+              )),
               style = "overflow-y: auto; height: 500px"
             ),
             shiny::tabPanel(
@@ -114,179 +125,223 @@ mod_SNMF_ui <- function(id) {
               style = "overflow-y: auto; height: 500px"
             )
           )
-        )
-      ),
-      column(
+        )  # closes box
+      ),  # closes column(width = 6)
+      
+      #  Column 3: Status + Plot Controls 
+      shiny::column(
         width = 3,
-        bs4Dash::valueBoxOutput(ns("snmf_best_k_box"), width = NULL),
+        bs4Dash::valueBoxOutput(ns("snmf_best_k_box"),  width = NULL),
         bs4Dash::valueBoxOutput(ns("snmf_best_ce_box"), width = NULL),
         bs4Dash::box(
-          title = "Status",
-          width = 12,
+          title       = "Status",
+          width       = 12,
           collapsible = TRUE,
-          status = "info",
+          status      = "info",
           shinyWidgets::progressBar(
-            id = ns("pb_snmf"),
-            value = 0,
-            status = "info",
+            id          = ns("pb_snmf"),
+            value       = 0,
+            status      = "info",
             display_pct = TRUE,
-            striped = TRUE,
-            title = " "
+            striped     = TRUE,
+            title       = " "
           )
         ),
-        box(title = "Plot Controls", width=12, status = "warning", solidHeader = TRUE, collapsible = TRUE,
-            shiny::uiOutput(ns("snmf_selectors_ui")),
-            div(style="display:inline-block; float:left",dropdownButton(
+        box(
+          title       = "Plot Controls",
+          width       = 12,
+          status      = "warning",
+          solidHeader = TRUE,
+          collapsible = TRUE,
+          shiny::uiOutput(ns("snmf_selectors_ui")),
+          div(
+            style = "display:inline-block; float:left",
+            dropdownButton(
               tags$h3("Save Image"),
-              selectInput(inputId = ns('snmf_figure'), label = 'Figure', choices = c("Cross-Entropy Plot","Ancestry Plot")),
-              selectInput(inputId = ns('snmf_image_type'), label = 'File Type', choices = c("jpeg","tiff","png","svg"), selected = "jpeg"),
-              sliderInput(inputId = ns('snmf_image_res'), label = 'Resolution', value = 300, min = 50, max = 1000, step=50),
-              sliderInput(inputId = ns('snmf_image_width'), label = 'Width', value = 8, min = 1, max = 20, step=0.5),
-              sliderInput(inputId = ns('snmf_image_height'), label = 'Height', value = 5, min = 1, max = 20, step = 0.5),
+              selectInput(ns("snmf_figure"),     "Figure",    choices  = c("Cross-Entropy Plot", "Ancestry Plot")),
+              selectInput(ns("snmf_image_type"), "File Type", choices  = c("jpeg", "tiff", "png", "svg"), selected = "jpeg"),
+              sliderInput(ns("snmf_image_res"),    "Resolution", value = 300, min = 50,  max = 1000, step = 50),
+              sliderInput(ns("snmf_image_width"),  "Width",      value = 8,   min = 1,   max = 20,   step = 0.5),
+              sliderInput(ns("snmf_image_height"), "Height",     value = 5,   min = 1,   max = 20,   step = 0.5),
               fluidRow(
                 downloadButton(ns("download_snmf_figure"), "Save Image"),
-                downloadButton(ns("download_snmf_file"), "Save Files"),
-                downloadButton(ns("download_project_zip"), "Save Project")),
-              circle = FALSE,
-              status = "danger",
-              icon = icon("floppy-disk"), width = "300px", label = "Save",
+                downloadButton(ns("download_snmf_file"),   "Save Files"),
+                downloadButton(ns("download_project_zip"), "Save Project")
+              ),
+              circle  = FALSE,
+              status  = "danger",
+              icon    = icon("floppy-disk"),
+              width   = "300px",
+              label   = "Save",
               tooltip = tooltipOptions(title = "Click to see inputs!")
-            ))
-        )
-      )
-    )
-  )
+            )
+          )
+        )  # closes Plot Controls box
+      )   # closes column(width = 3)
+      
+    )  # closes fluidRow
+  )    # closes tagList
 }
 
 #' SNMF Server Functions
 #'
 #' @noRd
 mod_SNMF_server <- function(input, output, session, parent_session) {
+  
   ns <- session$ns
-
+  
+  `%||%` <- function(x, y) if (is.null(x)) y else x
+  
+  make_collapse_panel <- function(panel_id, icon_name, label, body_content) {
+    shiny::tags$div(
+      class = "card mb-1",
+      style = "border: 1px solid #dee2e6; border-radius: 4px;",
+      shiny::tags$div(
+        class = "card-header p-0",
+        style = "background-color: #f8f9fa;",
+        shiny::tags$button(
+          class           = "btn btn-link btn-sm w-100 text-left d-flex align-items-center",
+          style           = "color: #343a40; text-decoration: none; font-size: 13px; padding: 8px 12px; gap: 6px;",
+          `data-toggle`   = "collapse",
+          `data-target`   = paste0("#", panel_id),
+          `aria-expanded` = "false",
+          shiny::icon(icon_name),
+          shiny::tags$span(label)
+        )
+      ),
+      shiny::tags$div(
+        id    = panel_id,
+        class = "collapse",
+        shiny::tags$div(
+          class = "card-body",
+          style = "padding: 12px 14px; font-size: 13px;",
+          body_content
+        )
+      )
+    )
+  }
+  
+  #  Help button 
+  shiny::observeEvent(input$help_btn, {
+    shiny::showModal(
+      shiny::modalDialog(
+        title     = shiny::tagList(shiny::icon("circle-question"), " SNMF — Help"),
+        size      = "l",
+        easyClose = TRUE,
+        footer    = shiny::modalButton("Close"),
+        help_content_SNMF(collapse_fn = make_collapse_panel, id_prefix = "modal")
+      )
+    )
+  })
+  
   set_status <- function(...) {
     msg <- paste0(...)
     output$snmf_status <- shiny::renderText(msg)
   }
-
+  
   show_error <- function(title, message) {
     shiny::showModal(shiny::modalDialog(
-      title = title,
+      title     = title,
       easyClose = TRUE,
-      footer = shiny::modalButton("Close"),
+      footer    = shiny::modalButton("Close"),
       message
     ))
   }
-
+  
   call_with_allowed_named_args <- function(fun, args) {
     allowed <- names(formals(fun))
-    if (is.null(allowed)) {
-      return(do.call(fun, args))
-    }
+    if (is.null(allowed)) return(do.call(fun, args))
     keep <- names(args) == "" | names(args) %in% allowed
     do.call(fun, args[keep])
   }
-
+  
   same_path <- function(path_a, path_b) {
     identical(
       normalizePath(path_a, winslash = "/", mustWork = FALSE),
       normalizePath(path_b, winslash = "/", mustWork = FALSE)
     )
   }
-
+  
   copy_file_if_needed <- function(from, to, overwrite = TRUE) {
-    if (same_path(from, to)) {
-      return(to)
-    }
-
+    if (same_path(from, to)) return(to)
     ok <- file.copy(from, to, overwrite = overwrite)
-    if (!isTRUE(ok)) {
-      stop("Failed to copy file from ", from, " to ", to, call. = FALSE)
-    }
-
+    if (!isTRUE(ok)) stop("Failed to copy file from ", from, " to ", to, call. = FALSE)
     to
   }
-
+  
   write_vcf_upload_as_geno <- function(vcf_path, geno_path) {
     vcf <- vcfR::read.vcfR(vcf_path, verbose = FALSE)
-    gt <- as.matrix(vcfR::extract.gt(vcf, element = "GT"))
-
+    gt  <- as.matrix(vcfR::extract.gt(vcf, element = "GT"))
+    
     if (nrow(gt) == 0 || ncol(gt) == 0) {
       stop("No genotype calls were found in the uploaded VCF.", call. = FALSE)
     }
-
-    dosage_cols <- lapply(seq_len(ncol(gt)), function(i) {
-      BIGr:::convert_to_dosage(gt[, i])
-    })
-
-    dosage_mat <- do.call(cbind, dosage_cols)
+    
+    dosage_cols <- lapply(seq_len(ncol(gt)), function(i) BIGr:::convert_to_dosage(gt[, i]))
+    dosage_mat  <- do.call(cbind, dosage_cols)
     colnames(dosage_mat) <- colnames(gt)
     rownames(dosage_mat) <- rownames(gt)
-
+    
     lea_mat <- t(dosage_mat)
     lea_mat[is.na(lea_mat)] <- 9
     storage.mode(lea_mat) <- "integer"
-
+    
     LEA::write.geno(lea_mat, geno_path)
-
-    list(
-      geno_path = geno_path,
-      sample_ids = colnames(gt)
-    )
+    
+    list(geno_path = geno_path, sample_ids = colnames(gt))
   }
-
+  
   run_ctx <- new.env(parent = emptyenv())
   run_ctx$run_dir <- NULL
-
+  
   cleanup_run_dir <- function(path = run_ctx$run_dir) {
     if (!is.null(path) && dir.exists(path)) {
       unlink(path, recursive = TRUE, force = TRUE)
     }
-
-    if (identical(run_ctx$run_dir, path)) {
-      run_ctx$run_dir <- NULL
-    }
+    if (identical(run_ctx$run_dir, path)) run_ctx$run_dir <- NULL
   }
-
+  
   state <- shiny::reactiveValues(
-    run_dir = NULL,
-    project = NULL,
-    geno_path = NULL,
-    vcf_path = NULL,
-    k_values = NULL,
-    repetitions = NULL,
+    run_dir         = NULL,
+    project         = NULL,
+    geno_path       = NULL,
+    vcf_path        = NULL,
+    k_values        = NULL,
+    repetitions     = NULL,
     entropy_enabled = FALSE,
-    ce_df = NULL,
-    ce_summary = NULL,
-    best_k = NULL,
-    best_run_by_k = NULL,
-    sample_ids = NULL
+    ce_df           = NULL,
+    ce_summary      = NULL,
+    best_k          = NULL,
+    best_run_by_k   = NULL,
+    sample_ids      = NULL
   )
-
+  
+  #  Value boxes 
   output$snmf_best_k_box <- bs4Dash::renderValueBox({
     bs4Dash::valueBox(
-      value = if (!is.null(state$best_k)) state$best_k else "—",
+      value    = if (!is.null(state$best_k)) state$best_k else "\u2014",
       subtitle = "Best K",
-      icon = shiny::icon("layer-group"),
-      color = "info"
+      icon     = shiny::icon("layer-group"),
+      color    = "info"
     )
   })
-
+  
   output$snmf_best_ce_box <- bs4Dash::renderValueBox({
     bs4Dash::valueBox(
       value = if (isTRUE(state$entropy_enabled) && !is.null(state$ce_summary)) {
-        best_k <- state$best_k
+        best_k   <- state$best_k
         best_row <- state$ce_summary[state$ce_summary$K == best_k, , drop = FALSE]
-        if (nrow(best_row) == 1) round(best_row$min_cross_entropy, 6) else "—"
+        if (nrow(best_row) == 1) round(best_row$min_cross_entropy, 6) else "\u2014"
       } else {
-        "—"
+        "\u2014"
       },
       subtitle = "Min cross-entropy",
-      icon = shiny::icon("chart-line"),
-      color = "olive"
+      icon     = shiny::icon("chart-line"),
+      color    = "olive"
     )
   })
-
+  
+  #  Selectors UI ─
   output$snmf_selectors_ui <- shiny::renderUI({
     if (is.null(state$project) || is.null(state$k_values) || is.null(state$repetitions)) {
       return(shiny::HTML("<em>Run SNMF to enable K/run selectors and downloads.</em>"))
@@ -295,62 +350,55 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       shiny::selectInput(
         ns("snmf_selected_k"),
         "Selected K",
-        choices = as.character(state$k_values),
+        choices  = as.character(state$k_values),
         selected = as.character(state$best_k %||% state$k_values[[1]])
       ),
       shiny::selectInput(
         ns("snmf_selected_run"),
         "Selected run",
-        choices = as.character(seq_len(state$repetitions)),
+        choices  = as.character(seq_len(state$repetitions)),
         selected = "1"
       )
     )
   })
-
+  
   observeEvent(input$snmf_selected_k, {
     req(state$project, state$k_values, state$repetitions)
-    k <- as.integer(input$snmf_selected_k)
-
+    k            <- as.integer(input$snmf_selected_k)
     selected_run <- 1L
     if (!is.null(state$best_run_by_k) && !is.na(state$best_run_by_k[as.character(k)])) {
       selected_run <- as.integer(state$best_run_by_k[as.character(k)])
     }
-
     shiny::updateSelectInput(
-      session,
-      "snmf_selected_run",
-      choices = as.character(seq_len(state$repetitions)),
+      session, "snmf_selected_run",
+      choices  = as.character(seq_len(state$repetitions)),
       selected = as.character(selected_run)
     )
   }, ignoreInit = TRUE)
-
+  
   selected_k <- shiny::reactive({
     req(state$project, state$k_values)
     k <- input$snmf_selected_k
-    if (is.null(k) || !nzchar(k)) {
-      return(as.integer(state$best_k %||% state$k_values[[1]]))
-    }
+    if (is.null(k) || !nzchar(k)) return(as.integer(state$best_k %||% state$k_values[[1]]))
     as.integer(k)
   })
-
+  
   selected_run <- shiny::reactive({
     req(state$project, state$repetitions)
     r <- input$snmf_selected_run
     if (is.null(r) || !nzchar(r)) return(1L)
     as.integer(r)
   })
-
+  
+  #  Q matrix reactive 
   q_matrix <- shiny::reactive({
     req(state$project)
     k <- selected_k()
     r <- selected_run()
-
-    q <- call_with_allowed_named_args(
-      LEA::Q,
-      list(state$project, K = k, run = r)
-    )
-
+    
+    q <- call_with_allowed_named_args(LEA::Q, list(state$project, K = k, run = r))
     q <- as.matrix(q)
+    
     if (!is.null(state$sample_ids) && length(state$sample_ids) == nrow(q)) {
       rownames(q) <- state$sample_ids
     } else if (is.null(rownames(q))) {
@@ -359,135 +407,128 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
     colnames(q) <- paste0("Cluster", seq_len(ncol(q)))
     q
   })
-
+  
+  #  Outputs 
   output$snmf_q_table <- DT::renderDT({
-    q <- q_matrix()
+    q  <- q_matrix()
     df <- data.frame(ID = rownames(q), q, check.names = FALSE)
     DT::datatable(df, options = list(scrollX = TRUE, pageLength = 10))
   })
-
+  
   output$snmf_q_plot <- shiny::renderPlot({
-    q <- q_matrix()
-    df <- data.frame(ID = rownames(q), q, check.names = FALSE)
-
+    q      <- q_matrix()
+    df     <- data.frame(ID = rownames(q), q, check.names = FALSE)
     q_cols <- colnames(q)
+    
     long <- stats::reshape(
       df,
-      varying = q_cols,
-      v.names = "Q",
-      timevar = "Cluster",
-      times = q_cols,
+      varying   = q_cols,
+      v.names   = "Q",
+      timevar   = "Cluster",
+      times     = q_cols,
       direction = "long"
     )
-    long$ID <- factor(long$ID, levels = unique(df$ID))
+    long$ID      <- factor(long$ID,      levels = unique(df$ID))
     long$Cluster <- factor(long$Cluster, levels = q_cols)
-
+    
     ggplot(long, ggplot2::aes(x = ID, y = Q, fill = Cluster)) +
       geom_col(width = 0.9) +
       scale_y_continuous(labels = scales::percent_format(accuracy = 1)) +
       labs(x = "Individual", y = "Ancestry proportion", fill = "Cluster") +
       theme_minimal() +
       theme(
-        axis.text.x = element_text(angle = 45, hjust = 1, vjust = 1, size = 8),
+        axis.text.x        = element_text(angle = 45, hjust = 1, vjust = 1, size = 8),
         panel.grid.major.x = element_blank()
       )
   })
-
+  
   output$snmf_ce_plot <- shiny::renderPlot({
     validate(shiny::need(isTRUE(state$entropy_enabled), "Cross-entropy disabled (see Selection mode)."))
-    validate(shiny::need(!is.null(state$ce_summary), "Run SNMF to compute cross-entropy."))
-
+    validate(shiny::need(!is.null(state$ce_summary),    "Run SNMF to compute cross-entropy."))
+    
     ggplot(state$ce_summary, aes(x = K, y = min_cross_entropy)) +
       geom_line() +
       geom_point() +
       labs(x = "K", y = "Minimum cross-entropy", title = "SNMF cross-entropy by K") +
       theme_minimal()
   })
-
+  
   output$snmf_ce_table <- DT::renderDT({
     validate(shiny::need(isTRUE(state$entropy_enabled), "Cross-entropy disabled (see Selection mode)."))
-    validate(shiny::need(!is.null(state$ce_summary), "Run SNMF to compute cross-entropy."))
-
-    DT::datatable(
-      state$ce_summary,
-      options = list(pageLength = 10, scrollX = TRUE)
-    )
+    validate(shiny::need(!is.null(state$ce_summary),    "Run SNMF to compute cross-entropy."))
+    DT::datatable(state$ce_summary, options = list(pageLength = 10, scrollX = TRUE))
   })
-
+  
+  #  Run SNMF 
   observeEvent(input$snmf_run, {
     if (!requireNamespace("LEA", quietly = TRUE)) {
       show_error("Missing dependency", "Install the LEA package to use SNMF.")
       return()
     }
-
     if (is.null(input$snmf_file$datapath)) {
       show_error("Missing input", "Upload a .vcf/.vcf.gz or .geno file.")
       return()
     }
-
+    
     k_min <- as.integer(input$snmf_k_min)
     k_max <- as.integer(input$snmf_k_max)
     if (is.na(k_min) || is.na(k_max) || k_min < 1 || k_max < 1 || k_min > k_max) {
-      show_error("Invalid K range", "K min and K max must be integers with K min ≤ K max and both ≥ 1.")
+      show_error("Invalid K range", "K min and K max must be integers with K min \u2264 K max and both \u2265 1.")
       return()
     }
-
+    
     reps <- as.integer(input$snmf_repetitions)
     if (is.na(reps) || reps < 1) {
-      show_error("Invalid repetitions", "Repetitions must be an integer ≥ 1.")
+      show_error("Invalid repetitions", "Repetitions must be an integer \u2265 1.")
       return()
     }
-
+    
     ploidy <- as.integer(input$snmf_ploidy)
     if (is.na(ploidy) || ploidy < 1) {
-      show_error("Invalid ploidy", "Ploidy must be an integer ≥ 1.")
+      show_error("Invalid ploidy", "Ploidy must be an integer \u2265 1.")
       return()
     }
-
+    
     entropy_enabled <- input$snmf_select_mode %in% c("auto_entropy", "manual_entropy")
-
+    
     cleanup_run_dir()
-
-    state$run_dir <- tempfile("snmf_", tmpdir = tempdir())
-    run_ctx$run_dir <- state$run_dir
+    
+    state$run_dir         <- tempfile("snmf_", tmpdir = tempdir())
+    run_ctx$run_dir       <- state$run_dir
     dir.create(state$run_dir, recursive = TRUE, showWarnings = FALSE)
-    state$project <- NULL
-    state$geno_path <- NULL
-    state$vcf_path <- NULL
-    state$k_values <- seq(k_min, k_max)
-    state$repetitions <- reps
+    state$project         <- NULL
+    state$geno_path       <- NULL
+    state$vcf_path        <- NULL
+    state$k_values        <- seq(k_min, k_max)
+    state$repetitions     <- reps
     state$entropy_enabled <- entropy_enabled
-    state$ce_df <- NULL
-    state$ce_summary <- NULL
-    state$best_k <- NULL
-    state$best_run_by_k <- NULL
-    state$sample_ids <- NULL
-
-    shinyWidgets::updateProgressBar(session = session, id = "pb_snmf", value = 5, title = "Preparing input")
+    state$ce_df           <- NULL
+    state$ce_summary      <- NULL
+    state$best_k          <- NULL
+    state$best_run_by_k   <- NULL
+    state$sample_ids      <- NULL
+    
+    shinyWidgets::updateProgressBar(session = session, id = "pb_snmf", value = 5,  title = "Preparing input")
     set_status("Preparing input...\n")
-
+    
     uploaded_name <- input$snmf_file$name %||% "genotypes"
-    ext_lower <- tolower(uploaded_name)
-
-    file_base <- sub("\\.(vcf\\.gz|vcf|geno|gz)$", "", basename(uploaded_name), ignore.case = TRUE)
-
-    geno_path <- file.path(state$run_dir, paste0(file_base, ".geno"))
+    ext_lower     <- tolower(uploaded_name)
+    file_base     <- sub("\\.(vcf\\.gz|vcf|geno|gz)$", "", basename(uploaded_name), ignore.case = TRUE)
+    geno_path     <- file.path(state$run_dir, paste0(file_base, ".geno"))
     uploaded_path <- input$snmf_file$datapath
-
+    
     # Convert input to .geno if needed
     if (grepl("\\.geno$", ext_lower)) {
       copy_file_if_needed(uploaded_path, geno_path, overwrite = TRUE)
     } else if (grepl("\\.vcf\\.gz$|\\.vcf$|\\.gz$", ext_lower)) {
-      shinyWidgets::updateProgressBar(session = session, id = "pb_snmf", value = 15, title = "Converting VCF → GENO")
+      shinyWidgets::updateProgressBar(session = session, id = "pb_snmf", value = 15, title = "Converting VCF \u2192 GENO")
       set_status("Converting VCF to GENO...\n")
-
+      
       vcf_to_geno_res <- tryCatch(
-        {
-          write_vcf_upload_as_geno(uploaded_path, geno_path)
-        },
+        write_vcf_upload_as_geno(uploaded_path, geno_path),
         error = function(e) e
       )
-
+      
       if (!file.exists(geno_path)) {
         geno_candidates <- list.files(state$run_dir, pattern = "\\.geno$", full.names = TRUE)
         if (length(geno_candidates) >= 1) {
@@ -495,7 +536,7 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
           copy_file_if_needed(newest, geno_path, overwrite = TRUE)
         }
       }
-
+      
       if (!file.exists(geno_path)) {
         msg <- if (inherits(vcf_to_geno_res, "error")) vcf_to_geno_res$message else "VCF conversion did not produce a .geno file."
         show_error("VCF conversion failed", msg)
@@ -503,7 +544,7 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
         set_status(paste0("ERROR: ", msg, "\n"))
         return()
       }
-
+      
       if (is.list(vcf_to_geno_res) && !is.null(vcf_to_geno_res$sample_ids)) {
         state$sample_ids <- vcf_to_geno_res$sample_ids
       }
@@ -513,54 +554,54 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       set_status("ERROR: Unsupported file type.\n")
       return()
     }
-
+    
     state$geno_path <- geno_path
-    state$vcf_path <- NULL
-
+    state$vcf_path  <- NULL
+    
     shinyWidgets::updateProgressBar(session = session, id = "pb_snmf", value = 35, title = "Running SNMF")
     set_status(
       "Running SNMF...\n",
       "Input GENO: ", basename(state$geno_path), "\n",
-      "K: ", k_min, "–", k_max, "\n",
+      "K: ", k_min, "\u2013", k_max, "\n",
       "Repetitions: ", reps, "\n",
       "Entropy: ", if (entropy_enabled) "enabled" else "disabled", "\n"
     )
-
+    
     old_wd <- getwd()
     on.exit(setwd(old_wd), add = TRUE)
     setwd(state$run_dir)
-
+    
     snmf_args <- list(
       state$geno_path,
-      K = state$k_values,
+      K           = state$k_values,
       repetitions = reps,
-      ploidy = ploidy,
-      entropy = entropy_enabled,
-      alpha = input$snmf_alpha,
-      iterations = as.integer(input$snmf_iterations),
-      tolerance = as.numeric(input$snmf_tolerance),
-      percentage = as.numeric(input$snmf_percentage),
-      CPU = as.integer(input$snmf_cpu),
-      seed = as.integer(input$snmf_seed)
+      ploidy      = ploidy,
+      entropy     = entropy_enabled,
+      alpha       = input$snmf_alpha,
+      iterations  = as.integer(input$snmf_iterations),
+      tolerance   = as.numeric(input$snmf_tolerance),
+      percentage  = as.numeric(input$snmf_percentage),
+      CPU         = as.integer(input$snmf_cpu),
+      seed        = as.integer(input$snmf_seed)
     )
-
+    
     project <- tryCatch(
       call_with_allowed_named_args(LEA::snmf, snmf_args),
       error = function(e) e
     )
-
+    
     if (inherits(project, "error")) {
       show_error("SNMF failed", project$message)
       shinyWidgets::updateProgressBar(session = session, id = "pb_snmf", value = 0, title = " ")
       set_status(paste0("ERROR: ", project$message, "\n"))
       return()
     }
-
+    
     state$project <- project
-
+    
     shinyWidgets::updateProgressBar(session = session, id = "pb_snmf", value = 75, title = "Summarizing results")
     set_status(paste0(capture.output(str(project, max.level = 1)), collapse = "\n"), "\n")
-
+    
     if (entropy_enabled) {
       ce_records <- list()
       for (k in state$k_values) {
@@ -570,103 +611,93 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
             error = function(e) NA_real_
           )
           ce_records[[length(ce_records) + 1]] <- data.frame(
-            K = as.integer(k),
-            run = as.integer(r),
+            K             = as.integer(k),
+            run           = as.integer(r),
             cross_entropy = as.numeric(ce_val),
             stringsAsFactors = FALSE
           )
         }
       }
       state$ce_df <- do.call(rbind, ce_records)
-
-      min_ce_by_k <- tapply(state$ce_df$cross_entropy, state$ce_df$K, min, na.rm = TRUE)
+      
+      min_ce_by_k   <- tapply(state$ce_df$cross_entropy, state$ce_df$K, min, na.rm = TRUE)
       best_run_by_k <- sapply(names(min_ce_by_k), function(k_chr) {
         k_int <- as.integer(k_chr)
-        sub <- state$ce_df[state$ce_df$K == k_int, , drop = FALSE]
+        sub   <- state$ce_df[state$ce_df$K == k_int, , drop = FALSE]
         if (nrow(sub) == 0) return(NA_integer_)
         sub$run[which.min(sub$cross_entropy)]
       })
-
+      
       state$best_run_by_k <- best_run_by_k
       ce_summary <- data.frame(
-        K = as.integer(names(min_ce_by_k)),
-        best_run = as.integer(best_run_by_k[names(min_ce_by_k)]),
+        K                 = as.integer(names(min_ce_by_k)),
+        best_run          = as.integer(best_run_by_k[names(min_ce_by_k)]),
         min_cross_entropy = as.numeric(min_ce_by_k),
-        stringsAsFactors = FALSE
+        stringsAsFactors  = FALSE
       )
-      ce_summary <- ce_summary[order(ce_summary$K), , drop = FALSE]
+      ce_summary      <- ce_summary[order(ce_summary$K), , drop = FALSE]
       state$ce_summary <- ce_summary
-      state$best_k <- ce_summary$K[which.min(ce_summary$min_cross_entropy)]
+      state$best_k     <- ce_summary$K[which.min(ce_summary$min_cross_entropy)]
     } else {
       state$best_k <- state$k_values[[1]]
     }
-
-    # Initialize selectors (K + run)
+    
+    # Initialize selectors
     shiny::updateSelectInput(
-      session,
-      "snmf_selected_k",
-      choices = as.character(state$k_values),
+      session, "snmf_selected_k",
+      choices  = as.character(state$k_values),
       selected = as.character(state$best_k %||% state$k_values[[1]])
     )
-
+    
     initial_run <- 1L
     if (!is.null(state$best_run_by_k)) {
       br <- state$best_run_by_k[as.character(state$best_k)]
       if (!is.na(br)) initial_run <- as.integer(br)
     }
     shiny::updateSelectInput(
-      session,
-      "snmf_selected_run",
-      choices = as.character(seq_len(reps)),
+      session, "snmf_selected_run",
+      choices  = as.character(seq_len(reps)),
       selected = as.character(initial_run)
     )
-
+    
     shinyWidgets::updateProgressBar(session = session, id = "pb_snmf", value = 100, title = "Complete!")
     set_status("SNMF complete.\n")
   })
-
+  
+  #  Downloads ─
   output$download_q_csv <- shiny::downloadHandler(
-    filename = function() {
-      paste0("snmf_Q_K", selected_k(), "_run", selected_run(), "_", Sys.Date(), ".csv")
-    },
-    content = function(file) {
+    filename = function() paste0("snmf_Q_K", selected_k(), "_run", selected_run(), "_", Sys.Date(), ".csv"),
+    content  = function(file) {
       req(state$project)
-      q <- q_matrix()
+      q  <- q_matrix()
       df <- data.frame(ID = rownames(q), q, check.names = FALSE)
       utils::write.csv(df, file, row.names = FALSE)
     }
   )
-
+  
   output$download_ce_csv <- shiny::downloadHandler(
-    filename = function() {
-      paste0("snmf_cross_entropy_", Sys.Date(), ".csv")
-    },
-    content = function(file) {
+    filename = function() paste0("snmf_cross_entropy_", Sys.Date(), ".csv"),
+    content  = function(file) {
       req(state$project)
       validate(shiny::need(isTRUE(state$entropy_enabled), "Cross-entropy disabled (see Selection mode)."))
       utils::write.csv(state$ce_df %||% data.frame(), file, row.names = FALSE)
     }
   )
-
+  
   output$download_project_zip <- shiny::downloadHandler(
-    filename = function() {
-      paste0("snmf_project_", Sys.Date(), ".zip")
-    },
-    content = function(file) {
+    filename = function() paste0("snmf_project_", Sys.Date(), ".zip"),
+    content  = function(file) {
       req(state$project)
       export_try <- function(args) {
         tryCatch(call_with_allowed_named_args(LEA::export.snmfProject, args), error = function(e) e)
       }
-
+      
       res <- export_try(list(state$project, file = file))
       if (file.exists(file)) return()
-
+      
       res2 <- export_try(list(state$project))
       if (is.character(res2) && length(res2) >= 1) {
-        if (file.exists(res2[[1]])) {
-          file.copy(res2[[1]], file, overwrite = TRUE)
-          return()
-        }
+        if (file.exists(res2[[1]])) { file.copy(res2[[1]], file, overwrite = TRUE); return() }
         if (dir.exists(res2[[1]])) {
           all_paths <- list.files(res2[[1]], full.names = TRUE, recursive = TRUE)
           all_paths <- all_paths[file.info(all_paths)$isdir %in% FALSE]
@@ -674,25 +705,74 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
           return()
         }
       }
-
+      
       zips <- list.files(state$run_dir, pattern = "\\.zip$", full.names = TRUE)
       if (length(zips) >= 1) {
         newest <- zips[which.max(file.info(zips)$mtime)]
         file.copy(newest, file, overwrite = TRUE)
         return()
       }
-
-      if (inherits(res, "error")) stop(res$message)
+      
+      if (inherits(res,  "error")) stop(res$message)
       if (inherits(res2, "error")) stop(res2$message)
       stop("export.snmfProject() did not produce a zip file.")
     }
   )
-
+  
+  output$download_snmf_figure <- shiny::downloadHandler(
+    filename = function() {
+      ext <- input$snmf_image_type %||% "jpeg"
+      fig <- input$snmf_figure %||% "Ancestry Plot"
+      lbl <- if (fig == "Cross-Entropy Plot") "cross_entropy" else "ancestry_plot"
+      paste0("snmf_", lbl, "_", Sys.Date(), ".", ext)
+    },
+    content = function(file) {
+      req(state$project)
+      ext    <- input$snmf_image_type   %||% "jpeg"
+      width  <- as.numeric(input$snmf_image_width  %||% 8)
+      height <- as.numeric(input$snmf_image_height %||% 5)
+      dpi    <- as.numeric(input$snmf_image_res    %||% 300)
+      fig    <- input$snmf_figure %||% "Ancestry Plot"
+      
+      p <- if (fig == "Cross-Entropy Plot") {
+        validate(shiny::need(isTRUE(state$entropy_enabled), "Cross-entropy disabled."))
+        validate(shiny::need(!is.null(state$ce_summary),    "Run SNMF first."))
+        ggplot(state$ce_summary, aes(x = K, y = min_cross_entropy)) +
+          geom_line() + geom_point() +
+          labs(x = "K", y = "Minimum cross-entropy", title = "SNMF cross-entropy by K") +
+          theme_minimal()
+      } else {
+        q      <- q_matrix()
+        df     <- data.frame(ID = rownames(q), q, check.names = FALSE)
+        q_cols <- colnames(q)
+        long   <- stats::reshape(df, varying = q_cols, v.names = "Q", timevar = "Cluster",
+                                 times = q_cols, direction = "long")
+        long$ID      <- factor(long$ID,      levels = unique(df$ID))
+        long$Cluster <- factor(long$Cluster, levels = q_cols)
+        ggplot(long, ggplot2::aes(x = ID, y = Q, fill = Cluster)) +
+          geom_col(width = 0.9) +
+          scale_y_continuous(labels = scales::percent_format(accuracy = 1)) +
+          labs(x = "Individual", y = "Ancestry proportion", fill = "Cluster") +
+          theme_minimal() +
+          theme(axis.text.x = element_text(angle = 45, hjust = 1, vjust = 1, size = 8),
+                panel.grid.major.x = element_blank())
+      }
+      
+      if (ext %in% c("png", "jpeg", "tiff")) {
+        ggplot2::ggsave(filename = file, plot = p, width = width, height = height, units = "in", dpi = dpi)
+      } else {
+        ggplot2::ggsave(filename = file, plot = p, width = width, height = height, units = "in")
+      }
+    }
+  )
+  
   session$onSessionEnded(function() {
     cleanup_run_dir()
   })
 }
 
-`%||%` <- function(x, y) {
-  if (is.null(x)) y else x
-}
+## To be copied in the UI
+# mod_SNMF_ui("SNMF_1")
+
+## To be copied in the server
+# mod_SNMF_server("SNMF_1")
\ No newline at end of file
diff --git a/R/mod_help.R b/R/mod_help.R
index 3fb784a..02c946f 100644
--- a/R/mod_help.R
+++ b/R/mod_help.R
@@ -1,64 +1,138 @@
-#' help UI Function
-#'
-#' @description A shiny Module.
+# mod_help.R
+
+#' Help module UI
 #'
-#' @param id,input,output,session Internal parameters for {shiny}.
+#' @param id Module id
 #'
 #' @noRd
-#'
-#' @importFrom shiny NS tagList includeMarkdown
-mod_help_ui <- function(id){
-  ns <- NS(id)
-  tagList(
-    fluidPage(
-      column(width=12),
-      column(width=12,
-             box(title="Predictive Ability", id = "Predictive_Ability_box",width = 12, collapsible = TRUE, collapsed = TRUE, status = "info", solidHeader = TRUE,
-                 "This tab provides the predictive ability of a GBLUP model for each trait across all samples within a genomic dataset",
-                 br(), br(),
-                 bs4Dash::tabsetPanel(id = "Predictive_Ability_tabset",
-                                      tabPanel("Parameters description", value = "Predictive_Ability_par", br(),
-                                               includeMarkdown(system.file("help_files/Predictive_Ability_par.Rmd", package = "BIGapp"))
-                                      ),
-                                      tabPanel("Results description", value = "Predictive_Ability_results", br(),
-                                               includeMarkdown(system.file("help_files/Predictive_Ability_res.Rmd", package = "BIGapp"))
-                                      ),
-                                      tabPanel("How to cite", value = "Predictive_Ability_cite", br(),
-                                               includeMarkdown(system.file("help_files/Predictive_Ability_cite.Rmd", package = "BIGapp"))
-                                      ))
-             ),
-             box(title="Genomic Prediction", id = "Genomic_Prediction_box",width = 12, collapsible = TRUE, collapsed = TRUE, status = "info", solidHeader = TRUE,
-                 "his tab estimates the trait and estimated-breeding-values (EBVs) for either all individuals in a genomic dataset, or by training the model with one genomic dataset to predict the values in another.",
-                 br(), br(),
-                 bs4Dash::tabsetPanel(id = "Genomic_Prediction_tabset",
-                                      tabPanel("Parameters description", value = "Genomic_Prediction_par", br(),
-                                               includeMarkdown(system.file("help_files/Genomic_Prediction_par.Rmd", package = "BIGapp"))
-                                      ),
-                                      tabPanel("Results description", value = "Genomic_Prediction_results", br(),
-                                               includeMarkdown(system.file("help_files/Genomic_Prediction_res.Rmd", package = "BIGapp"))
-                                      ),
-                                      tabPanel("How to cite", value = "Genomic_Prediction_cite", br(),
-                                               includeMarkdown(system.file("help_files/Genomic_Prediction_cite.Rmd", package = "BIGapp"))
-                                      ))
-             ),
-      ),
-      column(width=2)
-      # Add Help content here
+mod_help_ui <- function(id) {
+  ns <- shiny::NS(id)
+  shiny::tagList(
+    shiny::fluidRow(
+      shiny::column(
+        width = 12,
+        shiny::div(
+          style = "padding: 20px;",
+          shiny::div(
+            style = "text-align: center; margin-bottom: 25px; padding-bottom: 15px; border-bottom: 2px solid #17a2b8;",
+            shiny::tags$h2("Help Documentation", style = "color: #17a2b8; margin-bottom: 10px;"),
+            shiny::tags$p("Click a module to expand its help section.",
+                          style = "color: #666; font-size: 16px;")
+          ),
+          shiny::uiOutput(ns("help_accordion"))
+        )
+      )
     )
   )
 }
 
-#' help Server Functions
+#' Help module server
+#'
+#' @param id Module id
+#' @param parent_session Parent (app) session
 #'
 #' @noRd
-mod_help_server <- function(input, output, session, parent_session){
-
-  ns <- session$ns
-
-}
-
-## To be copied in the UI
-# mod_help_ui("help_1")
-
-## To be copied in the server
-# mod_help_server("help_1")
+mod_help_server <- function(id, parent_session = NULL) {
+  shiny::moduleServer(id, function(input, output, session) {
+    
+    # ── Top-level accordion panel builder ─────────────────────────────────
+    make_top_panel <- function(panel_id, icon_name, label, body_content) {
+      shiny::tags$div(
+        style = "margin-bottom: 8px;",
+        shiny::tags$div(
+          style = "background-color: #17a2b8; border-radius: 6px; overflow: hidden;",
+          shiny::tags$button(
+            class           = "btn w-100 text-left d-flex align-items-center justify-content-between",
+            style           = "color: white; font-size: 15px; font-weight: 600; padding: 14px 18px; background: none; border: none;",
+            `data-toggle`   = "collapse",
+            `data-target`   = paste0("#top_", panel_id),
+            `aria-expanded` = "false",
+            shiny::tags$span(
+              shiny::tagList(
+                shiny::icon(icon_name),
+                shiny::tags$span(label, style = "margin-left: 8px;")
+              )
+            ),
+            shiny::tags$span("+", style = "font-size: 20px; font-weight: bold;")
+          )
+        ),
+        shiny::tags$div(
+          id    = paste0("top_", panel_id),
+          class = "collapse",
+          shiny::tags$div(
+            style = "border: 1px solid #17a2b8; border-top: none; border-radius: 0 0 6px 6px; padding: 16px;",
+            body_content
+          )
+        )
+      )
+    }
+    
+    # ── Inner collapse panel builder (passed down to help_content_* fns) ──
+    make_collapse_panel <- function(panel_id, icon_name, label, body_content) {
+      shiny::tags$div(
+        class = "card mb-1",
+        style = "border: 1px solid #dee2e6; border-radius: 4px;",
+        shiny::tags$div(
+          class = "card-header p-0",
+          style = "background-color: #f8f9fa;",
+          shiny::tags$button(
+            class           = "btn btn-link btn-sm w-100 text-left d-flex align-items-center",
+            style           = "color: #343a40; text-decoration: none; font-size: 13px; padding: 8px 12px; gap: 6px;",
+            `data-toggle`   = "collapse",
+            `data-target`   = paste0("#", panel_id),
+            `aria-expanded` = "false",
+            shiny::icon(icon_name),
+            shiny::tags$span(label)
+          )
+        ),
+        shiny::tags$div(
+          id    = panel_id,
+          class = "collapse",
+          shiny::tags$div(
+            class = "card-body",
+            style = "padding: 12px 14px; font-size: 13px;",
+            body_content
+          )
+        )
+      )
+    }
+    
+    # ── Render accordion ───────────────────────────────────────────────────
+    output$help_accordion <- shiny::renderUI({
+      shiny::tagList(
+        
+        make_top_panel(
+          panel_id     = "ped_cleaner",
+          icon_name    = "sitemap",
+          label        = "Pedigree Cleaner",
+          body_content = help_content_ped_cleaner(
+            collapse_fn = make_collapse_panel,
+            id_prefix   = "page"
+          )
+        ),
+        
+        make_top_panel(
+          panel_id     = "polybreedtools",
+          icon_name    = "chart-column",
+          label        = HTML("BreedTools<sup>poly</sup>"),
+          body_content = help_content_polybreedtools(
+            collapse_fn = make_collapse_panel,
+            id_prefix   = "page"
+          )
+        ),
+        
+        make_top_panel(
+          panel_id     = "snmf",
+          icon_name    = "list-ol",
+          label        = "SNMF",
+          body_content = help_content_SNMF(
+            collapse_fn = make_collapse_panel,
+            id_prefix   = "page"
+          )
+        )
+        
+      )
+    })
+    
+  })
+}
\ No newline at end of file
diff --git a/R/mod_ped_cleaner.R b/R/mod_ped_cleaner.R
index 1008c8c..7e1632e 100644
--- a/R/mod_ped_cleaner.R
+++ b/R/mod_ped_cleaner.R
@@ -7,105 +7,137 @@ mod_ped_cleaner_ui <- function(id) {
   ns <- shiny::NS(id)
   shiny::tagList(
     shinyjs::useShinyjs(),
-    shiny::sidebarLayout(
-      shiny::sidebarPanel(
-        shiny::div(
-          style = "background-color: #ffffff; border: 2px solid #444444; padding: 15px; margin-bottom: 20px; border-radius: 8px;",
-          shiny::h4(
-            shiny::tagList(shiny::icon("gear"), "Getting Started"),
-            style = "color: #000000; margin-bottom: 15px; border-bottom: 1px solid black; padding-bottom: 8px;"
-          ),
-          shiny::htmlOutput(ns("dynamic_guide")),
-          shiny::div(
-            style = "text-align: center; margin-top: 15px; padding-top: 10px; border-top: 1px solid #dee2e6;",
-            shiny::actionButton(
-              ns("help_btn"),
-              shiny::tagList(shiny::icon("circle-question"), "Help"),
-              style = "background-color: #FFD700; color: #000000; border:none; padding: 8px 16px; border-radius: 5px;"
-            )
-          )
-        ),
-        shiny::wellPanel(
-          style = "background-color: #ffffff; border: 2px solid #444444; padding: 15px; margin-bottom: 20px; border-radius: 8px;",
-          shiny::h4(
-            shiny::tagList(shiny::icon("sitemap"), "Pedigree Input"),
-            style = "color: #000000; margin-bottom: 15px; border-bottom: 1px solid #000000; padding-bottom: 8px;"
-          ),
+    shiny::fluidRow(
+      
+      # ── Column 1: Inputs ──────────────────────────────────────────────────
+      shiny::column(
+        width = 3,
+        bs4Dash::box(
+          title       = "Inputs",
+          width       = 12,
+          collapsible = TRUE,
+          collapsed   = FALSE,
+          status      = "info",
+          solidHeader = TRUE,
           shiny::p(
             "Upload a pedigree file (.txt, .tsv, or .csv) with columns: id, male_parent, female_parent.",
             style = "color: #6c757d; font-size: 12px; margin-bottom: 15px;"
           ),
           shiny::fileInput(
             ns("ped_file"),
-            "Upload pedigree file",
+            "Upload Pedigree File",
             accept = c(".txt", ".tsv", ".csv")
           ),
           shiny::actionButton(
             ns("run_check"),
             "Run Pedigree Check",
-            style = "margin-top: 10px; width: 100%; background-color: #28a745; color: white; border: none; padding: 10px; border-radius: 5px;"
-          )
-        ),
-        shiny::wellPanel(
-          style = "background-color: #ffffff; border: 2px solid #444444; padding: 15px; margin-bottom: 20px; border-radius: 8px;",
-          shiny::h4(
-            shiny::tagList(shiny::icon("download"), "Export"),
-            style = "color: #000000; margin-bottom: 15px; border-bottom: 1px solid #000000; padding-bottom: 8px;"
-          ),
-          shiny::p(
-            "Download the corrected pedigree and issue report as a zip file:",
-            style = "color: #6c757d; font-size: 12px; margin-bottom: 15px;"
+            style = "width: 100%; background-color: #28a745; color: white; border: none; padding: 10px; border-radius: 5px;"
           ),
+          shiny::hr(),
           shinyjs::disabled(
             shiny::downloadButton(
               ns("download_results"),
               "Export Corrected Pedigree + Report",
               style = "width: 100%; background-color: #28a745; color: white; border: none; padding: 10px; border-radius: 5px;"
             )
+          ),
+          shiny::hr(),
+          shiny::div(
+            style = "text-align: center; margin-top: 5px;",
+            shiny::actionButton(
+              ns("help_btn"),
+              shiny::tagList(shiny::icon("circle-question"), "Help"),
+              style = "background-color: #FFD700; color: #000000; border: none; padding: 8px 16px; border-radius: 5px;"
+            )
           )
-        )
-      ),
-      shiny::mainPanel(
-        shiny::fluidRow(
-          shiny::column(
-            width = 12,
-            bs4Dash::box(
-              title       = "Status",
-              width       = 12,
-              collapsible = TRUE,
-              status      = "info",
-              shinyWidgets::progressBar(
-                id          = ns("pb_ped"),
-                value       = 0,
-                status      = "info",
-                display_pct = TRUE,
-                striped     = TRUE,
-                title       = " "
-              )
+        )  # closes box
+      ),  # closes column(width = 3)
+      
+      # ── Column 2: Results ─────────────────────────────────────────────────
+      shiny::column(
+        width = 6,
+        bs4Dash::box(
+          title       = "Pedigree Check Results",
+          status      = "info",
+          solidHeader = FALSE,
+          width       = 12,
+          height      = 650,
+          maximizable = TRUE,
+          bs4Dash::tabsetPanel(
+            id   = ns("ped_results_tabs"),
+            type = "tabs",
+            shiny::tabPanel(
+              "Instructions",
+              shiny::fluidRow(
+                shiny::column(12, shiny::wellPanel(shiny::HTML('
+                  <ul>
+                    <li>Upload a tab-separated <code>.txt</code>, <code>.tsv</code>, or <code>.csv</code> pedigree file.</li>
+                    <li>Required columns: <code>id</code>, <code>male_parent</code>, <code>female_parent</code>.</li>
+                    <li>Click <strong>Run Pedigree Check</strong> to detect and fix issues.</li>
+                    <li>Issues detected and corrected:</li>
+                    <ul>
+                      <li><strong>Exact Duplicates</strong> — fully identical rows are removed.</li>
+                      <li><strong>Conflicting IDs</strong> — same ID with different parents; ambiguous parent set to 0.</li>
+                      <li><strong>Inconsistent Sex Roles</strong> — individual appears as both male and female parent.</li>
+                      <li><strong>Missing Parents</strong> — referenced parents added with unknown parents (0).</li>
+                      <li><strong>Cycles / Dependencies</strong> — circular relationships are flagged.</li>
+                    </ul>
+                    <li>Review results in the <strong>Summary</strong> and <strong>Issue Tables</strong> tabs, then export.</li>
+                  </ul>
+                ')))
+              ),
+              style = "overflow-y: auto; height: 550px"
+            ),
+            shiny::tabPanel(
+              "Summary",
+              shiny::uiOutput(ns("summary_banner")),
+              style = "overflow-y: auto; height: 550px; padding: 10px;"
+            ),
+            shiny::tabPanel(
+              "Issue Tables",
+              shiny::uiOutput(ns("results_ui")),
+              style = "overflow-y: auto; height: 550px; padding: 10px;"
             )
           )
-        ),
-        shiny::br(),
-        shiny::uiOutput(ns("summary_banner")),
-        shiny::br(),
-        shiny::uiOutput(ns("results_ui"))
-      )
-    )
-  )
+        )  # closes box
+      ),  # closes column(width = 6)
+      
+      # ── Column 3: Status ──────────────────────────────────────────────────
+      shiny::column(
+        width = 3,
+        bs4Dash::box(
+          title       = "Status",
+          width       = 12,
+          collapsible = TRUE,
+          status      = "info",
+          solidHeader = TRUE,
+          shinyWidgets::progressBar(
+            id          = ns("pb_ped"),
+            value       = 0,
+            status      = "info",
+            display_pct = TRUE,
+            striped     = TRUE,
+            title       = " "
+          )
+        )
+      )  # closes column(width = 3)
+      
+    )  # closes fluidRow
+  )    # closes tagList
 }
 
 #' Pedigree Cleaner module server
 #'
 #' @param id Module id
-#' @param parent_session Parent (app) session, used for sidebar navigation
+#' @param parent_session Parent (app) session
 #'
 #' @noRd
 mod_ped_cleaner_server <- function(id, parent_session) {
   shiny::moduleServer(id, function(input, output, session) {
+    
     check_results <- shiny::reactiveVal(NULL)
-    error_message <- shiny::reactiveVal("")
     
-    # Helpers
+    # ── Helpers ───────────────────────────────────────────────────────────────
     make_collapse_panel <- function(panel_id, icon_name, label, body_content) {
       shiny::tags$div(
         class = "card mb-1",
@@ -137,48 +169,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
     
     sanitize_id <- function(x) gsub("[^A-Za-z0-9]", "_", tolower(x))
     
-    # Startup
-    output$dynamic_guide <- shiny::renderUI({
-      current_error <- error_message()
-      has_file      <- !is.null(input$ped_file)
-      has_results   <- !is.null(check_results())
-      
-      if (current_error != "") {
-        return(shiny::HTML(paste0(
-          "<div style='background-color: #f8d7da; border: 1px solid #f5c6cb; padding: 8px; border-radius: 4px; margin-bottom: 10px;'>",
-          "<p style='color: #721c24; margin: 0;'><strong>Error occurred:</strong></p>",
-          "<p style='color: #721c24; margin: 5px 0; font-family: monospace; font-size: 11px;'>", current_error, "</p>",
-          "</div>"
-        )))
-      }
-      
-      get_icon <- function(done) {
-        if (done) {
-          "<span style='color: #28a745; font-weight: bold;'>[Done]</span>"
-        } else {
-          "<span style='color: #6c757d;'>[Pending]</span>"
-        }
-      }
-      
-      steps <- c(
-        sprintf("<p>%s <strong>Step 1:</strong> Upload your pedigree file (.txt, .tsv, or .csv)</p>",
-                get_icon(has_file)),
-        sprintf("<p>%s <strong>Step 2:</strong> Click 'Run Pedigree Check' to detect and fix issues</p>",
-                get_icon(has_results)),
-        sprintf("<p>%s <strong>Step 3:</strong> Review results and export the corrected pedigree</p>",
-                get_icon(has_results))
-      )
-      
-      if (has_results) {
-        steps <- c(steps,
-                   "<p><strong>Check Complete!</strong></p>",
-                   "<p style='color: #28a745; font-weight: bold;'>Your corrected pedigree is ready to download.</p>"
-        )
-      }
-      shiny::HTML(paste(steps, collapse = ""))
-    })
-    
-    # Help button
+    # ── Help button ───────────────────────────────────────────────────────────
     shiny::observeEvent(input$help_btn, {
       shiny::showModal(
         shiny::modalDialog(
@@ -191,10 +182,9 @@ mod_ped_cleaner_server <- function(id, parent_session) {
       )
     })
     
-    # Run check
+    # ── Run check ─────────────────────────────────────────────────────────────
     shiny::observeEvent(input$run_check, {
       shiny::req(input$ped_file)
-      error_message("")
       check_results(NULL)
       shinyjs::disable(session$ns("download_results"))
       
@@ -272,18 +262,18 @@ mod_ped_cleaner_server <- function(id, parent_session) {
         )
         shinyjs::enable(session$ns("download_results"))
         
+        bs4Dash::updateTabsetPanel(session, "ped_results_tabs", selected = "Summary")
+        
       }, error = function(e) {
-        error_message(paste0("Error running pedigree check: ", e$message))
-        check_results(NULL)
         shinyWidgets::updateProgressBar(
           session = session, id = "pb_ped",
           value = 100, status = "danger",
-          title = "Failed"
+          title = paste0("Failed: ", e$message)
         )
       })
     })
     
-    # Summary banner
+    # ── Summary banner ────────────────────────────────────────────────────────
     output$summary_banner <- shiny::renderUI({
       shiny::req(check_results())
       report <- check_results()$report
@@ -300,11 +290,11 @@ mod_ped_cleaner_server <- function(id, parent_session) {
       border_color <- if (total == 0) "#c3e6cb" else "#ffeeba"
       text_color   <- if (total == 0) "#155724"  else "#856404"
       headline     <- if (total == 0) "No issues found. Pedigree looks clean!" else
-        paste0(total, " issue(s) detected and corrected. Review the summary below.")
+        paste0(total, " issue(s) detected and corrected. Review the Issue Tables tab.")
       
       shiny::HTML(paste0(
         "<div style='background-color:", banner_color, "; border: 1px solid ", border_color,
-        "; padding: 12px; border-radius: 6px;'>",
+        "; padding: 12px; border-radius: 6px; margin-bottom: 12px;'>",
         "<p style='color:", text_color, "; margin: 0; font-weight: bold; font-size: 14px;'>",
         headline, "</p>",
         "<p style='color:", text_color, "; margin: 6px 0 0 0; font-size: 12px;'>",
@@ -317,7 +307,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
       ))
     })
     
-    # Results UI
+    # ── Results UI ────────────────────────────────────────────────────────────
     output$results_ui <- shiny::renderUI({
       shiny::req(check_results())
       report <- check_results()$report
@@ -349,18 +339,6 @@ mod_ped_cleaner_server <- function(id, parent_session) {
         )
       }
       
-      sections <- shiny::tagList(
-        shiny::h5(
-          shiny::tagList(shiny::icon("list-check"), " Check Results"),
-          style = "font-weight: bold; margin-bottom: 10px;"
-        ),
-        make_section("Exact Duplicates Removed",       "copy",        report$exact_duplicates,       "#6c757d"),
-        make_section("Conflicting IDs Resolved",       "exclamation", report$repeated_ids_diff,      "#856404"),
-        make_section("Inconsistent Parent Sex Roles",  "shuffle",     report$inconsistent_sex_roles, "#856404"),
-        make_section("Missing Parents Added",          "user-plus",   report$missing_parents,        "#0c5460"),
-        make_section("Cycles / Dependencies Detected", "rotate",      report$dependencies,           "#721c24")
-      )
-      
       render_if <- function(title, df) {
         output_id <- paste0("tbl_", sanitize_id(title))
         if (!is.null(df) && is.data.frame(df) && nrow(df) > 0) {
@@ -379,10 +357,20 @@ mod_ped_cleaner_server <- function(id, parent_session) {
       render_if("Missing Parents Added",          report$missing_parents)
       render_if("Cycles / Dependencies Detected", report$dependencies)
       
-      sections
+      shiny::tagList(
+        shiny::h5(
+          shiny::tagList(shiny::icon("list-check"), " Check Results"),
+          style = "font-weight: bold; margin-bottom: 10px;"
+        ),
+        make_section("Exact Duplicates Removed",       "copy",        report$exact_duplicates,       "#6c757d"),
+        make_section("Conflicting IDs Resolved",       "exclamation", report$repeated_ids_diff,      "#856404"),
+        make_section("Inconsistent Parent Sex Roles",  "shuffle",     report$inconsistent_sex_roles, "#856404"),
+        make_section("Missing Parents Added",          "user-plus",   report$missing_parents,        "#0c5460"),
+        make_section("Cycles / Dependencies Detected", "rotate",      report$dependencies,           "#721c24")
+      )
     })
     
-    # Download
+    # ── Download ──────────────────────────────────────────────────────────────
     output$download_results <- shiny::downloadHandler(
       filename = function() {
         paste0("pedigree_check_", Sys.Date(), ".zip")
@@ -423,5 +411,6 @@ mod_ped_cleaner_server <- function(id, parent_session) {
       },
       contentType = "application/zip"
     )
+    
   })
 }
\ No newline at end of file
diff --git a/R/mod_polybreedtools.R b/R/mod_polybreedtools.R
index 5965523..49ccf80 100644
--- a/R/mod_polybreedtools.R
+++ b/R/mod_polybreedtools.R
@@ -9,18 +9,20 @@
 #' @importFrom shiny NS tagList
 #' @import shinydisconnect
 #' @importFrom bs4Dash valueBoxOutput
-mod_polybreedtools_ui <- function(id){
+mod_polybreedtools_ui <- function(id) {
   ns <- NS(id)
   tagList(
     fluidRow(
+      
+      #  Column 1: Inputs 
       column(
         width = 3,
         bs4Dash::box(
-          title = "Inputs",
-          width = 12,
+          title       = "Inputs",
+          width       = 12,
           collapsible = TRUE,
-          collapsed = FALSE,
-          status = "info",
+          collapsed   = FALSE,
+          status      = "info",
           solidHeader = TRUE,
           fileInput(ns("reference_file"), "Reference Genotypes (.txt)", accept = ".txt"),
           fileInput(ns("ref_ids_file"), "Reference IDs (.txt)", accept = ".txt"),
@@ -28,48 +30,64 @@ mod_polybreedtools_ui <- function(id){
           numericInput(ns("ploidy"), "Ploidy", value = 2, min = 1, max = 20, step = 1),
           actionButton(ns("run"), "Run Estimation"),
           br(),
-          br()
-        )
-      ),
+          br(),
+          shiny::hr(),
+          shiny::div(
+            style = "text-align: center; margin-top: 5px;",
+            shiny::actionButton(
+              ns("help_btn"),
+              shiny::tagList(shiny::icon("circle-question"), "Help"),
+              style = "background-color: #FFD700; color: #000000; border:none; padding: 8px 16px; border-radius: 5px;"
+            )
+          )
+        )  # closes box
+      ),  # closes column(width = 3)
+      
+      #  Column 2: Results 
       column(
         width = 6,
         bs4Dash::box(
-          title = "Line/breed content estimation",
-          status = "info",
+          title       = "Line/breed content estimation",
+          status      = "info",
           solidHeader = FALSE,
-          width = 12,
-          height = 600,
+          width       = 12,
+          height      = 600,
           maximizable = TRUE,
           bs4Dash::tabsetPanel(
-            id = ns("polybreedtools_results_tabs"),
+            id   = ns("polybreedtools_results_tabs"),
             type = "tabs",
             tabPanel(
               "Instructions",
               fluidRow(
                 column(12, shiny::wellPanel(shiny::HTML('
-              <ul>
-                <li>This tool was developed by Breeding Insight.</li>
-                <li>It estimates the proportion of each of the lines/groups included in the <strong>reference population</strong> from genotype samples using methods from 
-                  <a href="https://www.animalsciencepublications.org/publications/tas/articles/1/1/36" target="_blank">Funkhouser et al. (2017)</a>.</li>
-                <li><strong>Input format:</strong></li>
-                <ul>
-                  <li><strong>Reference Genotypes:</strong> A genotype matrix (.txt) with SNPs in rows and samples in columns. The first column must be <code>ID</code>. Missing should be coded as <code>NA</code>.</li>
-                  <li><strong>Reference IDs:</strong> A two-column .txt file with population labels. Header example: <code>Group1</code>, <code>Group2</code>.</li>
-                  <li><strong>Validation Genotypes:</strong> Same format as the reference genotype file.</li>
-                </ul>
-              </ul>
-            ')))
+                  <ul>
+                    <li>This tool was developed by Breeding Insight.</li>
+                    <li>It estimates the proportion of each of the lines/groups included in the <strong>reference population</strong> from genotype samples using methods from
+                      <a href="https://www.animalsciencepublications.org/publications/tas/articles/1/1/36" target="_blank">Funkhouser et al. (2017)</a>.</li>
+                    <li><strong>Input format:</strong></li>
+                    <ul>
+                      <li><strong>Reference Genotypes:</strong> A genotype matrix (.txt) with SNPs in rows and samples in columns. The first column must be <code>ID</code>. Missing should be coded as <code>NA</code>.</li>
+                      <li><strong>Reference IDs:</strong> A two-column .txt file with population labels. Header example: <code>Group1</code>, <code>Group2</code>.</li>
+                      <li><strong>Validation Genotypes:</strong> Same format as the reference genotype file.</li>
+                    </ul>
+                  </ul>
+                ')))
               ),
               style = "overflow-y: auto; height: 500px"
             ),
-            shiny::tabPanel("Results Table", DT::DTOutput(ns("preview")), style = "overflow-y: auto; height: 500px"),
-            shiny::tabPanel("Ancestry Plot", shiny::plotOutput(ns("bar_plot"), height = "450px"), style = "overflow-y: auto; height: 500px")
+            shiny::tabPanel("Results Table", DT::DTOutput(ns("preview")),                          style = "overflow-y: auto; height: 500px"),
+            shiny::tabPanel("Ancestry Plot", shiny::plotOutput(ns("bar_plot"), height = "450px"),  style = "overflow-y: auto; height: 500px")
           )
         ),
         box(
-          title = "Example Inputs", status = "info", solidHeader = FALSE, width = 12, height = 400, maximizable = T,
+          title       = "Example Inputs",
+          status      = "info",
+          solidHeader = FALSE,
+          width       = 12,
+          height      = 400,
+          maximizable = TRUE,
           bs4Dash::tabsetPanel(
-            id = ns('example_tabs'),
+            id   = ns("example_tabs"),
             type = "tabs",
             tabPanel(
               "Reference IDs",
@@ -87,57 +105,64 @@ mod_polybreedtools_ui <- function(id){
             )
           )
         )
-      ),
+      ),  # closes column(width = 6)
+      
+      #  Column 3: Status + Plot Controls 
       shiny::column(
         width = 3,
         bs4Dash::box(
-          title = "Status",
-          width = 12,
+          title       = "Status",
+          width       = 12,
           collapsible = TRUE,
-          status = "info",
+          status      = "info",
           solidHeader = TRUE,
           shiny::verbatimTextOutput(ns("status"))
         ),
-        box(title = "Plot Controls", width=12, status = "warning", solidHeader = TRUE, collapsible = TRUE,
-            selectInput(ns("color_choice"), "Color Palette", choices = list("Standard Palettes" = c("Set1","Set3","Pastel2",
-                                                                                                    "Pastel1","Accent","Spectral",
-                                                                                                    "RdYlGn","RdGy"),
-                                                                            "Colorblind Friendly" = c("Set2","Paired","Dark2","YlOrRd","YlOrBr","YlGnBu","YlGn",
-                                                                                                      "Reds","RdPu","Purples","PuRd","PuBuGn","PuBu",
-                                                                                                      "OrRd","Oranges","Greys","Greens","GnBu","BuPu",
-                                                                                                      "BuGn","Blues","RdYlBu",
-                                                                                                      "RdBu", "PuOr","PRGn","PiYG","BrBG"
-                                                                            )),
-                        selected = "Set1"),
-            checkboxInput(ns("poly_show_sample_labels"), "Show sample labels", value = FALSE),
-            checkboxInput(ns("poly_sort_by_predicted"), "Sort by predicted line", value = TRUE),
-            sliderInput(ns("poly_label_size"), "Label size", min = 6, max = 14, value = 8, step = 1),
-            div(style="display:inline-block; float:left", dropdownButton(
+        box(
+          title       = "Plot Controls",
+          width       = 12,
+          status      = "warning",
+          solidHeader = TRUE,
+          collapsible = TRUE,
+          selectInput(ns("color_choice"), "Color Palette",
+                      choices = list(
+                        "Standard Palettes"   = c("Set1","Set3","Pastel2","Pastel1","Accent","Spectral","RdYlGn","RdGy"),
+                        "Colorblind Friendly" = c("Set2","Paired","Dark2","YlOrRd","YlOrBr","YlGnBu","YlGn",
+                                                  "Reds","RdPu","Purples","PuRd","PuBuGn","PuBu","OrRd",
+                                                  "Oranges","Greys","Greens","GnBu","BuPu","BuGn","Blues",
+                                                  "RdYlBu","RdBu","PuOr","PRGn","PiYG","BrBG")
+                      ),
+                      selected = "Set1"),
+          checkboxInput(ns("poly_show_sample_labels"), "Show sample labels",    value = FALSE),
+          checkboxInput(ns("poly_sort_by_predicted"),  "Sort by predicted line", value = TRUE),
+          sliderInput(ns("poly_label_size"), "Label size", min = 6, max = 14, value = 8, step = 1),
+          div(
+            style = "display:inline-block; float:left",
+            dropdownButton(
               tags$h3("Save"),
-              selectInput(
-                inputId = ns("poly_image_type"),
-                label = "File Type",
-                choices = c("png", "jpeg", "svg", "pdf"),
-                selected = "png"
-              ),
-              sliderInput(inputId = ns("poly_image_res"), label = "Resolution (DPI)", value = 300, min = 50, max = 1000, step = 50),
-              sliderInput(inputId = ns("poly_image_width"), label = "Width (in)", value = 10, min = 3, max = 30, step = 0.5),
-              sliderInput(inputId = ns("poly_image_height"), label = "Height (in)", value = 5, min = 3, max = 20, step = 0.5),
+              selectInput(ns("poly_image_type"), "File Type",
+                          choices  = c("png", "jpeg", "svg", "pdf"),
+                          selected = "png"),
+              sliderInput(ns("poly_image_res"),    "Resolution (DPI)", value = 300, min = 50,  max = 1000, step = 50),
+              sliderInput(ns("poly_image_width"),  "Width (in)",       value = 10,  min = 3,   max = 30,   step = 0.5),
+              sliderInput(ns("poly_image_height"), "Height (in)",      value = 5,   min = 3,   max = 20,   step = 0.5),
               fluidRow(
                 downloadButton(ns("download_poly_figure"), "Save Image"),
-                downloadButton(ns("download_poly_file"), "Save Files")
+                downloadButton(ns("download_poly_file"),   "Save Files")
               ),
-              circle = FALSE,
-              status = "danger",
-              icon = icon("floppy-disk"),
-              width = "300px",
-              label = "Save",
+              circle  = FALSE,
+              status  = "danger",
+              icon    = icon("floppy-disk"),
+              width   = "300px",
+              label   = "Save",
               tooltip = tooltipOptions(title = "Click to see options!")
-            ))
-        )
-      )
-    )
-  )
+            )
+          )
+        )  # closes Plot Controls box
+      )   # closes column(width = 3)
+      
+    )  # closes fluidRow
+  )    # closes tagList
 }
 
 #' PolyBreedTools Server Functions
@@ -150,23 +175,68 @@ mod_polybreedtools_ui <- function(id){
 #' @import BIGr
 #'
 #' @noRd
-mod_polybreedtools_server <- function(input, output, session, parent_session){
+mod_polybreedtools_server <- function(input, output, session, parent_session) {
   
   ns <- session$ns
   
-  #Helper function
+  `%||%` <- function(x, y) if (is.null(x)) y else x
+  
+  #  Helpers 
+  make_collapse_panel <- function(panel_id, icon_name, label, body_content) {
+    shiny::tags$div(
+      class = "card mb-1",
+      style = "border: 1px solid #dee2e6; border-radius: 4px;",
+      shiny::tags$div(
+        class = "card-header p-0",
+        style = "background-color: #f8f9fa;",
+        shiny::tags$button(
+          class           = "btn btn-link btn-sm w-100 text-left d-flex align-items-center",
+          style           = "color: #343a40; text-decoration: none; font-size: 13px; padding: 8px 12px; gap: 6px;",
+          `data-toggle`   = "collapse",
+          `data-target`   = paste0("#", panel_id),
+          `aria-expanded` = "false",
+          shiny::icon(icon_name),
+          shiny::tags$span(label)
+        )
+      ),
+      shiny::tags$div(
+        id    = panel_id,
+        class = "collapse",
+        shiny::tags$div(
+          class = "card-body",
+          style = "padding: 12px 14px; font-size: 13px;",
+          body_content
+        )
+      )
+    )
+  }
+  
+  #  Help button 
+  shiny::observeEvent(input$help_btn, {
+    shiny::showModal(
+      shiny::modalDialog(
+        title     = shiny::tagList(shiny::icon("circle-question"), " PolyBreedTools — Help"),
+        size      = "l",
+        easyClose = TRUE,
+        footer    = shiny::modalButton("Close"),
+        help_content_polybreedtools(collapse_fn = make_collapse_panel, id_prefix = "modal")
+      )
+    )
+  })
+  
+  #  Helper function 
   format_percent <- function(x) {
     scales::percent_format(accuracy = 0.1)(x)
   }
   
-  
   result_data <- reactiveVal(NULL)
-  poly_items <- reactiveValues(
-    pred_results = NULL,
+  poly_items  <- reactiveValues(
+    pred_results      = NULL,
     pred_results_long = NULL,
-    id_order = NULL
+    id_order          = NULL
   )
   
+  #  Run estimation 
   observeEvent(input$run, {
     req(input$reference_file, input$ref_ids_file, input$validation_file)
     output$status <- renderText("Running estimation...")
@@ -177,115 +247,89 @@ mod_polybreedtools_server <- function(input, output, session, parent_session){
       reference <- tibble::column_to_rownames(reference, "ID")
       
       reference_ids <- utils::read.table(input$ref_ids_file$datapath, header = TRUE, sep = "\t")
-      ref_ids <- lapply(as.list(reference_ids), as.character)
+      ref_ids       <- lapply(as.list(reference_ids), as.character)
       
-validation_raw <- utils::read.table(input$validation_file$datapath, header = TRUE, sep = "\t")     
-
-# NA filtering: validation samples (rows) with < 50% call rate
-sample_call_rate <- rowSums(!is.na(validation_raw)) / ncol(validation_raw)
-removed_samples <- validation_raw$ID[sample_call_rate < 0.5]
-validation_filtered <- validation_raw[sample_call_rate >= 0.5, , drop = FALSE]
-
-# NA filtering: validation markers (columns) with all NA
-col_call_counts <- colSums(!is.na(validation_filtered))
-removed_markers <- colnames(validation_filtered)[col_call_counts == 0]
-validation <- validation_filtered[, col_call_counts > 0, drop = FALSE]
-
-
-# Build warning messages
-warning_messages <- c()
-if (length(removed_samples) > 0) {
-  warning_messages <- c(warning_messages, paste(
-    "WARNING: The following validation samples were removed due to genotyping rate < 50%:\n",
-    paste0("  • ", removed_samples, collapse = "\n")
-  ))
-}
-if (length(removed_markers) > 0) {
-  warning_messages <- c(warning_messages, paste(
-    "WARNING: The following markers were removed from validation because they had no successful genotype calls:\n",
-    paste0("  • ", removed_markers, collapse = "\n")
-  ))
-}
+      validation_raw <- utils::read.table(input$validation_file$datapath, header = TRUE, sep = "\t")
       
+      # NA filtering: validation samples (rows) with < 50% call rate
+      sample_call_rate <- rowSums(!is.na(validation_raw)) / ncol(validation_raw)
+      removed_samples  <- validation_raw$ID[sample_call_rate < 0.5]
+      validation_filtered <- validation_raw[sample_call_rate >= 0.5, , drop = FALSE]
       
+      # NA filtering: validation markers (columns) with all NA
+      col_call_counts <- colSums(!is.na(validation_filtered))
+      removed_markers <- colnames(validation_filtered)[col_call_counts == 0]
+      validation      <- validation_filtered[, col_call_counts > 0, drop = FALSE]
       
-      #duplicated ids in validation file
-       val_ids <- validation[, 1]
+      # Build warning messages
+      warning_messages <- c()
+      if (length(removed_samples) > 0) {
+        warning_messages <- c(warning_messages, paste(
+          "WARNING: The following validation samples were removed due to genotyping rate < 50%:\n",
+          paste0("  \u2022 ", removed_samples, collapse = "\n")
+        ))
+      }
+      if (length(removed_markers) > 0) {
+        warning_messages <- c(warning_messages, paste(
+          "WARNING: The following markers were removed from validation because they had no successful genotype calls:\n",
+          paste0("  \u2022 ", removed_markers, collapse = "\n")
+        ))
+      }
+      
+      # Duplicated IDs in validation file
+      val_ids <- validation[, 1]
       dup_val <- val_ids[duplicated(val_ids)]
       if (length(dup_val) > 0) {
-        
-        # Build message
         dup_val_msg <- paste(
           "Error: The following sample IDs have duplicates in your validation file.",
           "Please check your input file and remove or rename the following IDs:\n",
-          paste0("  • ", dup_val, collapse = "\n")
+          paste0("  \u2022 ", dup_val, collapse = "\n")
         )
-        
-        # Show it in the ‘Status’ box
         output$status <- renderText(dup_val_msg)
         return()
       }
       
-      
       validation <- dplyr::distinct(validation, ID, .keep_all = TRUE)
       validation <- tibble::column_to_rownames(validation, "ID")
       
       freq <- BIGr:::allele_freq_poly(reference, ref_ids, ploidy = input$ploidy)
       
       # Error on NaN in freq
-      
-      na_pos <- which(is.na(freq), arr.ind = TRUE)   # rows = row #, cols = col #
-      
+      na_pos <- which(is.na(freq), arr.ind = TRUE)
       if (nrow(na_pos) > 0) {
-        
-        # For each marker (column) collect the rows that contain NaN
         na_report <- lapply(unique(na_pos[, 2]), function(col_idx) {
-          rows_with_na <- na_pos[na_pos[, 2] == col_idx, 1]   # row numbers
-          
+          rows_with_na <- na_pos[na_pos[, 2] == col_idx, 1]
           paste0(
-            "  • ", colnames(freq)[col_idx], ": ",          # marker name
+            "  \u2022 ", colnames(freq)[col_idx], ": ",
             paste(rownames(freq)[rows_with_na], collapse = ", ")
           )
         })
-        
-        # Build message
         NaN_freq_msg <- paste(
-          "Error: The following markers where not succesfully genotyped for at least one reference population, please remove or correct them:",
+          "Error: The following markers were not successfully genotyped for at least one reference population, please remove or correct them:",
           paste(na_report, collapse = "\n"),
           "\nPlease remove or correct these markers", sep = "\n"
         )
-        
-        # Show it in the ‘Status’ box
         output$status <- renderText(NaN_freq_msg)
         return()
       }
-        
       
       prediction <- BIGr:::solve_composition_poly(validation, freq, ploidy = input$ploidy)
-      
       prediction <- as.data.frame(prediction, check.names = FALSE)
       prediction <- prediction[, !colnames(prediction) %in% c("R2"), drop = FALSE]
       prediction[] <- lapply(prediction, as.numeric)
       
       columns_to_select <- colnames(prediction)
-      
-      predicted_line <- columns_to_select[max.col(prediction[, columns_to_select, drop = FALSE], ties.method = "first")]
+      predicted_line    <- columns_to_select[max.col(prediction[, columns_to_select, drop = FALSE], ties.method = "first")]
       
       pred_results <- tibble::rownames_to_column(prediction, var = "ID")
-      pred_results <- dplyr::mutate(
-        pred_results,
-        `Predicted line` = predicted_line
-      )
-      pred_results <- dplyr::mutate(
-        pred_results,
-        dplyr::across(dplyr::all_of(columns_to_select), ~format_percent(.x))
-      )
+      pred_results <- dplyr::mutate(pred_results, `Predicted line` = predicted_line)
+      pred_results <- dplyr::mutate(pred_results, dplyr::across(dplyr::all_of(columns_to_select), ~format_percent(.x)))
       
       result_data(pred_results)
       
       id_order <- data.frame(
-        ID = rownames(prediction),
-        predicted_line = predicted_line,
+        ID              = rownames(prediction),
+        predicted_line  = predicted_line,
         predicted_value = apply(prediction[, columns_to_select, drop = FALSE], 1, max, na.rm = TRUE),
         stringsAsFactors = FALSE
       )
@@ -297,40 +341,35 @@ if (length(removed_markers) > 0) {
       pred_results_long <- tibble::rownames_to_column(prediction, var = "ID")
       pred_results_long <- tidyr::pivot_longer(
         pred_results_long,
-        cols = dplyr::all_of(columns_to_select),
-        names_to = "category",
+        cols      = dplyr::all_of(columns_to_select),
+        names_to  = "category",
         values_to = "percent"
       )
-      
       pred_results_long$predicted_line <- id_order$predicted_line[match(pred_results_long$ID, id_order$ID)]
       
-      poly_items$pred_results <- pred_results
+      poly_items$pred_results      <- pred_results
       poly_items$pred_results_long <- pred_results_long
-      poly_items$id_order <- id_order
+      poly_items$id_order          <- id_order
       
       final_status <- "Estimation complete. File ready for download."
-      
       if (length(warning_messages) > 0) {
-        final_status <- paste(
-          final_status,
-          "\n\n",
-          paste(warning_messages, collapse = "\n\n")
-        )
+        final_status <- paste(final_status, "\n\n", paste(warning_messages, collapse = "\n\n"))
       }
+      output$status <- renderText(final_status)
       
-      output$status <- renderText(final_status)      
     }, error = function(e) {
       output$status <- renderText(paste("Error during estimation:", e$message))
     })
   })
   
+  #  Ancestry plot 
   ancestry_plot <- reactive({
     req(poly_items$pred_results_long, poly_items$id_order)
     
     dat <- poly_items$pred_results_long
     
     if (isTRUE(input$poly_sort_by_predicted)) {
-      ord <- poly_items$id_order[order(poly_items$id_order$predicted_line, -poly_items$id_order$predicted_value), , drop = FALSE]
+      ord    <- poly_items$id_order[order(poly_items$id_order$predicted_line, -poly_items$id_order$predicted_value), , drop = FALSE]
       dat$ID <- factor(dat$ID, levels = ord$ID)
     } else {
       dat$ID <- factor(dat$ID, levels = unique(dat$ID))
@@ -349,11 +388,10 @@ if (length(removed_markers) > 0) {
       )
     } else {
       p <- p + theme(
-        axis.text.x = element_blank(),
+        axis.text.x  = element_blank(),
         axis.ticks.x = element_blank()
       )
     }
-    
     p
   })
   
@@ -362,11 +400,10 @@ if (length(removed_markers) > 0) {
     ancestry_plot()
   })
   
+  #  Downloads 
   output$download_poly_file <- downloadHandler(
-    filename = function() {
-      paste0("lineage_estimation_", format(Sys.Date(), "%Y-%m-%d"), ".xlsx")
-    },
-    content = function(file) {
+    filename = function() paste0("lineage_estimation_", format(Sys.Date(), "%Y-%m-%d"), ".xlsx"),
+    content  = function(file) {
       req(poly_items$pred_results)
       openxlsx::write.xlsx(poly_items$pred_results, file = file, rowNames = FALSE)
     }
@@ -379,13 +416,11 @@ if (length(removed_markers) > 0) {
     },
     content = function(file) {
       req(poly_items$pred_results_long)
-      p <- ancestry_plot()
-      
-      ext <- input$poly_image_type %||% "png"
-      width <- as.numeric(input$poly_image_width %||% 10)
+      p      <- ancestry_plot()
+      ext    <- input$poly_image_type   %||% "png"
+      width  <- as.numeric(input$poly_image_width  %||% 10)
       height <- as.numeric(input$poly_image_height %||% 5)
-      dpi <- as.numeric(input$poly_image_res %||% 300)
-      
+      dpi    <- as.numeric(input$poly_image_res    %||% 300)
       if (ext %in% c("png", "jpeg")) {
         ggplot2::ggsave(filename = file, plot = p, width = width, height = height, units = "in", dpi = dpi)
       } else {
@@ -394,52 +429,37 @@ if (length(removed_markers) > 0) {
     }
   )
   
-  # Sample reference IDs with >2 rows and variable length names
+  #  Example tables 
   example_ids_df <- data.frame(
-    Group1 = c("SampleAlpha", "S3", "ExampleFour", "",""),
+    Group1 = c("SampleAlpha", "S3", "ExampleFour", "", ""),
     Group2 = c("SampleOne", "SampleTwo", "SampleThree", "SampleFour", "SampleFive"),
     Group3 = c("SampleX", "SampleYy", "SampleZzzz", "ExampleEight", "")
   )
   
-  output$example_ids <- renderTable({
-    example_ids_df
-  }, bordered = TRUE)
-  
-  # Sample genotype matrix matching your example
   example_genos_df <- data.frame(
-    ID = paste0("Sample", c("1", "2", "3", "4", "5")),
+    ID      = paste0("Sample", c("1", "2", "3", "4", "5")),
     Marker1 = as.integer(c(0, 0, 1, 2, 1)),
     Marker2 = as.integer(c(NA, 1, 0, 1, 2)),
     Marker3 = as.integer(c(0, 0, NA, 1, 1)),
     Marker4 = as.integer(c(0, 0, 0, 0, 0))
   )
   
-  output$example_genos <- renderTable({
-    example_genos_df
-  }, bordered = TRUE)
+  output$example_ids   <- renderTable({ example_ids_df   }, bordered = TRUE)
+  output$example_genos <- renderTable({ example_genos_df }, bordered = TRUE)
   
-  # Download handlers for sample files
   output$download_ids <- downloadHandler(
     filename = function() "sample_reference_ids.txt",
-    content = function(file) {
-      write.table(example_ids_df, file, sep = "\t", row.names = FALSE, quote = FALSE)
-    }
+    content  = function(file) write.table(example_ids_df, file, sep = "\t", row.names = FALSE, quote = FALSE)
   )
   
   output$download_genos <- downloadHandler(
     filename = function() "sample_genotypes.txt",
-    content = function(file) {
-      write.table(example_genos_df, file, sep = "\t", row.names = FALSE, quote = FALSE)
-    }
+    content  = function(file) write.table(example_genos_df, file, sep = "\t", row.names = FALSE, quote = FALSE)
   )
 }
 
 ## To be copied in the UI
-# mod_diversity_ui("SNMF_1")
+# mod_polybreedtools_ui("polybreedtools_1")
 
 ## To be copied in the server
-# mod_diversity_server("SNMF_1")
-
-`%||%` <- function(x, y) {
-  if (is.null(x)) y else x
-}
+# mod_polybreedtools_server("polybreedtools_1")
\ No newline at end of file

From 009b18db4a944cdf37e7d2dd3fca272b4097f62f Mon Sep 17 00:00:00 2001
From: "josue.chinchilla" <josue.chinchilla@IFASadmins-MacBook-Pro.local>
Date: Thu, 14 May 2026 09:57:55 -0400
Subject: [PATCH 03/26] hid "BIGapp Tutorial button in mod_Home

---
 R/mod_Home.R | 28 ++++++++++++++--------------
 1 file changed, 14 insertions(+), 14 deletions(-)

diff --git a/R/mod_Home.R b/R/mod_Home.R
index 785c1e0..3d11eea 100644
--- a/R/mod_Home.R
+++ b/R/mod_Home.R
@@ -83,20 +83,20 @@ mod_Home_ui <- function(id){
                    width = 11
                  ),
                  style = "text-decoration: none; color: inherit;"  # Optional: removes underline and retains original color
-               ),
-               a(
-                 href = "https://scribehow.com/page/BIGapp_Tutorials__FdLsY9ZxQsi6kgT9p-U2Zg",  # Replace with your desired URL
-                 target = "_blank",  # Optional: opens the link in a new tab
-                 valueBox(
-                   value = NULL,
-                   subtitle = "BIGapp Tutorials",
-                   icon = icon("compass"),
-                   color = "warning",
-                   gradient = TRUE,
-                   width = 11
-                 ),
-                 style = "text-decoration: none; color: inherit;"  # Optional: removes underline and retains original color
-               )
+               )#,
+               #a(
+                # href = "https://scribehow.com/page/BIGapp_Tutorials__FdLsY9ZxQsi6kgT9p-U2Zg",  # Replace with your desired URL
+                # target = "_blank",  # Optional: opens the link in a new tab
+                # valueBox(
+                #   value = NULL,
+                #   subtitle = "BIGapp Tutorials",
+                #   icon = icon("compass"),
+                #   color = "warning",
+                #   gradient = TRUE,
+                #   width = 11
+                # ),
+                # style = "text-decoration: none; color: inherit;"  # Optional: removes underline and retains original color
+               #)
         )
       )
     )

From fab7a55bc0291f05d2656beaed81f46a3324e7ca Mon Sep 17 00:00:00 2001
From: "josue.chinchilla" <josue.chinchilla@IFASadmins-MacBook-Pro.local>
Date: Thu, 14 May 2026 10:22:28 -0400
Subject: [PATCH 04/26] updted documentation and added snmf test data

---
 .DS_Store          | Bin 14340 -> 14340 bytes
 .Rbuildignore      |   2 +
 .Rhistory          | 604 ++++++++++++++++++++++-----------------------
 .gitignore         |   1 +
 NAMESPACE          |   1 -
 inst/.gitignore    |   1 +
 inst/SNMF_test.vcf | Bin 0 -> 493448 bytes
 7 files changed, 306 insertions(+), 303 deletions(-)
 create mode 100644 inst/.gitignore
 create mode 100644 inst/SNMF_test.vcf

diff --git a/.DS_Store b/.DS_Store
index f6f3331370721ae7e68e83b2b1a61e867f1fbf50..3cd33c3864814afb0abf3df4dec58b7b0985d897 100644
GIT binary patch
delta 43
zcmZoEXerq6TAYz#^BeIgf|K19_6V~uWHRJ26f=~h6es5-<>%)xh-~)P+R6(6T-grR

delta 71
zcmZoEXerq6TAYz_^BeIgf{Z&SH)<C0NLE)HS{hmED41FrPF^T3&DcHpfr7kP4+8@O
b3qvMD9z!uhNlI~YPEvk;4#Q@Dt*yKOUJ(|9

diff --git a/.Rbuildignore b/.Rbuildignore
index 1297ac5..2cea6ff 100644
--- a/.Rbuildignore
+++ b/.Rbuildignore
@@ -5,3 +5,5 @@
 ^CODE_OF_CONDUCT\.md$
 ^Dockerfile$
 ^\.dockerignore$
+^\.positai$
+^\.claude$
diff --git a/.Rhistory b/.Rhistory
index bb402c2..eb99a94 100644
--- a/.Rhistory
+++ b/.Rhistory
@@ -1,305 +1,3 @@
-library(shiny); runApp('test.R')
-runApp('test.R')
-runApp('test.R')
-runApp('test.R')
-library(shiny); runApp('test.R')
-library(breedTools)
-library(scales)
-library(tidyverse)
-# read in data
-reference = read.table("~/Desktop/BreedToolspoly_test/blueberry_ref.txt", header = T, row.names = 1, sep = "\t")
-runApp('test.R')
-# Write final results
-write.table(
-pred_results_formatted,
-"honeybee_regression_results_2010_paper_sets.txt",
-col.names = TRUE,
-sep = "\t",
-quote = FALSE,
-row.names = FALSE
-)
-require(shiny)
-require(viridis)
-require(BIGr)
-require(scales)
-require(tidyverse)
-require(openxlsx)
-#### Helper Functions ####
-format_percent <- function(x) {
-percent_format(accuracy = 0.1)(x)
-}
-#### UI ####
-ui <- fluidPage(
-tags$head(
-tags$style(HTML("
-.header-img {
-text-align: center;
-margin-bottom: 20px;
-}
-.header-img img {
-max-width: 80%;
-height: auto;
-}
-"))
-),
-div(class = "header-img",
-img(src = "logos.png", alt = "Logos")
-),
-titlePanel("PolyBreedTools App: Estimate breed/line composition for any ploidy"),
-fluidRow(
-column(12,
-wellPanel(
-HTML('
-<ul>
-<li>This tool was developed by <strong>Breeding Insight</strong>.</li>
-<li>It estimates the breed/line composition from genotype samples using methods from
-<a href="https://www.animalsciencepublications.org/publications/tas/articles/1/1/36" target="_blank">Funkhouser et al. (2017)</a>.
-</li>
-<li><strong>Input files:</strong>
-<ul>
-<li><strong>Reference panel (.txt):</strong> SNPs in columns, samples in rows, first three columns: <code>ID</code>, <code>ref</code>, <code>alt</code></li>
-<li><strong>Reference IDs (.txt):</strong> A two-column table (Line, ID) with header</li>
-<li><strong>Genotype file (.txt):</strong> SNPs in rows, same format as reference</li>
-</ul>
-</li>
-<li><strong>Ploidy:</strong> Enter the ploidy level of the organism.</li>
-</ul>
-')
-)
-)
-),
-sidebarLayout(
-sidebarPanel(
-fileInput("reference_file", "Upload Reference Genotypes (.txt)", accept = ".txt"),
-fileInput("ref_ids_file", "Upload Reference IDs (.txt)", accept = ".txt"),
-fileInput("validation_file", "Upload Genotypes to Test (.txt)", accept = ".txt"),
-numericInput("ploidy", "Ploidy", value = 2, min = 1, max = 10, step = 1),
-actionButton("run", "Run Estimation"),
-br(), br(),
-downloadButton("download_results", "Download Excel Results")
-),
-mainPanel(
-tabsetPanel(
-tabPanel("Results Table", DT::dataTableOutput("preview")),
-tabPanel("Ancestry Plot", plotOutput("bar_plot"))
-),
-verbatimTextOutput("status")
-)
-)
-)
-#### SERVER ####
-server <- function(input, output, session) {
-result_data <- reactiveVal(NULL)
-result_filename <- reactiveVal(NULL)
-observeEvent(input$run, {
-req(input$reference_file, input$ref_ids_file, input$validation_file, input$ploidy)
-output$status <- renderText("Running estimation...")
-# Load and process reference genotype matrix
-reference_raw <- read.table(
-input$reference_file$datapath,
-, header = T, row.names = 1, sep = "\t")
-# Read reference genotypes
-reference <- read.table(
-input$reference_file$datapath,
-header = TRUE,
-row.names = 1,
-sep = "\t"
-)
-# Read reference IDs
-reference_ids <- read.table(
-input$ref_ids_file$datapath,
-header = TRUE,
-row.names = 1,
-sep = "\t"
-)
-ref_ids <- lapply(as.list(reference_ids), as.character)
-# Load and process validation genotype matrix
-validation_raw <- read.table(
-input$validation_file$datapath,
-header = TRUE,
-sep = "\t"
-)
-validation <- validation_raw %>%
-column_to_rownames(var = "ID") %>%
-as.data.frame()
-# Estimate allele frequencies
-freq <- BIGr:::allele_freq_poly(reference, ref_ids, ploidy = input$ploidy)
-# Predict ancestry composition
-prediction <- as.data.frame(BIGr:::solve_composition_poly(validation, freq, ploidy = input$ploidy)) %>%
-select(-R2) %>%
-rename(
-`RHB content` = RHB,
-`non-RHB content` = non.RHB
-)
-columns_to_select <- c("RHB content", "non-RHB content")
-pred_results <- prediction %>%
-rownames_to_column(var = "ID") %>%
-mutate(
-across(-ID, ~format_percent(.)),
-`Predicted line` = columns_to_select[max.col(select(., all_of(columns_to_select)), ties.method = "first")]
-)
-result_data(pred_results)
-# Save Excel file
-date_str <- format(Sys.Date(), "%Y-%m-%d")
-filename <- paste0("RHB_estimation_", date_str, ".xlsx")
-temp_path <- file.path(tempdir(), filename)
-result_filename(temp_path)
-write.xlsx(pred_results, file = temp_path, rowNames = FALSE)
-# Render results table
-output$preview <- DT::renderDataTable({
-DT::datatable(pred_results, options = list(pageLength = 10))
-})
-# Prepare and render plot
-pred_results_long <- prediction %>%
-rownames_to_column(var = "ID") %>%
-pivot_longer(
-cols = where(is.numeric),
-names_to = "category",
-values_to = "percent"
-)
-output$bar_plot <- renderPlot({
-ggplot(pred_results_long, aes(x = ID, y = percent, fill = category)) +
-geom_bar(stat = "identity") +
-scale_fill_viridis_d(option = "D") +
-scale_y_continuous(labels = percent_format(accuracy = 1)) +
-labs(
-x = "Individual ID",
-y = "Ancestry Proportion",
-fill = "Line"
-) +
-theme_minimal() +
-theme(axis.text.x = element_text(angle = 45, hjust = 1, size = 8))
-})
-output$status <- renderText("Estimation complete. File ready for download.")
-})
-output$download_results <- downloadHandler(
-filename = function() {
-basename(result_filename())
-},
-content = function(file) {
-file.copy(result_filename(), file)
-}
-)
-}
-shinyApp(ui, server)
-# Predict ancestry composition
-prediction <- as.data.frame(BIGr:::solve_composition_poly(validation, freq, ploidy = input$ploidy)) %>%
-select(-R2) %>%
-rename(
-`RHB content` = RHB,
-`non-RHB content` = non.RHB
-)
-clear
-# Estimate allele frequencies
-freq <- BIGr:::allele_freq_poly(reference, ref_ids, ploidy = input$ploidy)
-# Load and process reference genotype matrix
-reference_raw <- read.table(
-input$reference_file$datapath,
-, header = T, sep = "\t")
-shinyApp(ui, server)
-runApp('test.R')
-runApp('test.R')
-runApp('test.R')
-runApp(Desktop/test.R)
-runApp(~Desktop/test.R)
-setwd("~/Desktop")
-runApp('test.R')
-setwd("~/Desktop/BreedTools_App")
-runApp()
-shiny::runApp()
-runApp()
-runApp()
-runApp()
-runApp()
-runApp()
-runApp()
-runApp()
-runApp()
-runApp()
-runApp()
-runApp()
-runApp()
-runApp()
-runApp()
-runApp()
-shiny::runApp('app')
-setwd("~/Desktop/Max")
-setwd("~/Desktop/Max")
-library(readxl)
-library(ggplot2)
-library(dplyr)
-# 1. Read the data
-df <- read_excel("PCA_data.xlsx")
-# 2. Separate species from numeric variables
-species <- df$Species
-df_numeric <- df %>% select(-Species)
-# 3. Run PCA
-pca_res <- prcomp(df_numeric, scale. = TRUE)
-# 4. Extract PCA coordinates
-pca_df <- as.data.frame(pca_res$x)
-pca_df$Species <- species
-# 5. Function to plot any two PCs
-plot_pc <- function(pc_x, pc_y) {
-ggplot(pca_df, aes_string(x = pc_x, y = pc_y, color = "Species")) +
-geom_point(size = 3) +
-stat_ellipse(aes(group = Species), level = 0.95) +
-theme_minimal() +
-labs(title = paste(pc_x, "vs", pc_y),
-x = pc_x,
-y = pc_y) +
-theme(legend.position = "right")
-}
-# 6. Plots
-plot_pc("PC1", "PC2")
-plot_pc("PC1", "PC3")
-plot_pc("PC2", "PC3")
-View(pca_df)
-View(pca_res)
-summary(pca_res)
-library(readxl)
-library(ggplot2)
-library(dplyr)
-# 1. Read the data
-df <- read_excel("PCA_data.xlsx")
-# 2. Separate species from numeric variables
-species <- df$Species
-df_numeric <- df %>% select(-Species)
-# 3. Run PCA
-pca_res <- prcomp(df_numeric, scale. = TRUE)
-# 4. Variance explained (%)
-variance_explained <- (pca_res$sdev^2) / sum(pca_res$sdev^2) * 100
-# 5. PCA coordinates
-pca_df <- as.data.frame(pca_res$x)
-pca_df$Species <- species
-# ---- Plot 1: PC1 vs PC2 ----
-ggplot(pca_df, aes(x = PC1, y = PC2, color = Species)) +
-geom_point(size = 3) +
-stat_ellipse(aes(group = Species), level = 0.95) +
-theme_minimal() +
-labs(
-title = title_pc1_pc2,
-x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
-y = paste0("PC2 (", round(variance_explained[2], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 1: PC1 vs PC2 ----
-ggplot(pca_df, aes(x = PC1, y = PC2, color = Species)) +
-geom_point(size = 3) +
-stat_ellipse(aes(group = Species), level = 0.95) +
-theme_minimal() +
-labs(
-title =  "PCA for Species",
-x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
-y = paste0("PC2 (", round(variance_explained[2], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 2: PC1 vs PC3 ----
-ggplot(pca_df, aes(x = PC1, y = PC3, color = Species)) +
-geom_point(size = 2) +
-stat_ellipse(aes(group = Species), level = 0.99) +
-theme_minimal() +
-labs(
-title =  "PCA for Trachycarpus Species",
 x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
 y = paste0("PC3 (", round(variance_explained[3], 1), "%)")
 ) +
@@ -510,3 +208,305 @@ runApp('app')
 install.packages("golem")
 golem::create_golem("/example")
 golem::create_golem("/stuff")
+shiny::runApp()
+runApp()
+devtools::document()
+runApp()
+devtools::document()
+devtools::document()
+devtools::document()
+devtools::document()
+runApp()
+shiny::runApp()
+devtools::document()
+shiny::runApp()
+shiny::runApp()
+runApp()
+runApp()
+devtools::document()
+runApp()
+devtools::document()
+runApp()
+runApp()
+devtools::document()
+runApp()
+devtools::document()
+runApp()
+devtools::document()
+runApp()
+devtools::document()
+runApp()
+devtools::document()
+runApp()
+devtools::document()
+runApp()
+devtools::document()
+runApp()
+devtools::document()
+runApp()
+shiny::runApp()
+runApp()
+runApp()
+runApp()
+runApp()
+runApp()
+runApp()
+runApp()
+#### test function ####
+find_parentage(genotypes_file = "genotypes.txt",
+parents_file = "parents.txt",
+progeny_file = "progeny.txt",
+method = "best_pair",
+write_txt = T,
+show_ties = T)
+results <- validate_pedigree(
+pedigree_file = test_data$files$pedigree,
+genotypes_file = test_data$files$genotypes,
+trio_error_threshold = 5.0,
+min_markers = 100,
+single_parent_error_threshold = 2.0,
+fill_pedigree = T,
+verbose = F,
+write_txt = F,output_filename = corrected_pedigree_filled)
+runApp()
+runApp()
+familia::run_app()
+familia::run_app()
+familia::run_app()
+familia::run_app()
+familia::run_app()
+familia::run_app()
+familia::run_app()
+familia::run_app()
+familia::run_app()
+familia::run_app()
+familia::run_app()
+familia::run_app()
+familia::run_app()
+tagList(
+# Leave this function for adding external resources
+golem_add_external_resources(),
+# Dynamic sidebar color theme — only sets the :root CSS variables
+# ── Sidebar color theme ──────────────────────────────────────────────────────
+# Change this value to switch the active sidebar menu item color.
+# Available options: "azure", "green", "yellow", "grey", "purple", "red"
+# ─────────────────────────────────────────────────────────────────────────────
+tags$head(tags$style(HTML(sprintf(
+":root { --sidebar-core: var(--%s-core); --sidebar-lite: var(--%s-lite); --sidebar-deep: var(--%s-deep); }",
+"red", "red", "red"
+)))),
+bs4DashPage(
+skin = "black",
+bs4DashNavbar(
+title = tagList(
+tags$img(src = 'www/familia_logo.png', height = '40', width = '50'),
+),
+rightUi = tags$li(
+class = "dropdown",
+tags$a(
+href = "#",
+class = "nav-link",
+`data-toggle` = "dropdown",
+icon("info-circle")
+),
+tags$div(
+class = "dropdown-menu dropdown-menu-right",
+tags$a(
+class = "dropdown-item",
+href = "#",
+"Session Info",
+onclick = "Shiny.setInputValue('session_info_button', Math.random())"
+),
+tags$a(
+class = "dropdown-item",
+href = "#",
+"Check for Updates",
+onclick = "Shiny.setInputValue('updates_info_button', Math.random())"
+)
+)
+)
+),
+help = NULL, #This is the default bs4Dash button to control the presence of tooltips and popovers, which can be added as a user help/info feature.
+bs4DashSidebar(
+skin="light",
+status = "warning",
+fixed=TRUE,
+#minified = F,
+expandOnHover = TRUE,
+sidebarMenu(id = "MainMenu",
+flat = T,
+tags$li(class = "header", style = "color: grey; margin-top: 10px; margin-bottom: 10px; padding-left: 15px;", "Menu"),
+menuItem("Home", tabName = "welcome", icon = icon("house"),startExpanded = FALSE),
+menuItem("Genetic Composition", icon = icon("chart-pie"), startExpanded = TRUE,
+menuSubItem("SNMF", tabName = "snmf", icon = icon("list-ol")),
+menuSubItem(HTML("BreedTools<sup>poly</sup>"), tabName = "polybreedtools", icon = icon("chart-bar"))
+),
+menuItem("Parentage Testing", icon = icon("diagram-project"), startExpanded = TRUE,
+menuSubItem("Find Parents", tabName = "parentage", icon = icon("circle-nodes")),
+menuSubItem("Clean Pedigree", tabName = "validate_pedigree", icon = icon("broom")),
+menuSubItem("Validate Pedigree", tabName = "validate_pedigree", icon = icon("sitemap"))
+),
+tags$li(class = "header", style = "color: grey; margin-top: 18px; margin-bottom: 10px; padding-left: 15px;", "Information"),
+menuItem("Source Code", icon = icon("circle-info"), href = "https://www.github.com/Breeding-Insight/Genomics_Shiny_App"),
+#menuItem(
+#  span("Job Queue", bs4Badge("demo", position = "right", color = "warning")),
+#  tabName = "slurm",
+#  icon = icon("clock")),
+menuItem("Help", tabName = "help", icon = icon("circle-question"))
+)
+),
+footer = dashboardFooter(
+right = div(
+style = "display: flex; align-items: center;",  # Align text and images horizontally
+div(
+style = "display: flex; flex-direction: column; margin-right: 15px; text-align: right;",
+div("2026 Breeding Insight"),
+div("Funded by USDA through (UF|IFAS)")
+),
+div(
+a(
+img(src = "www/usda-logo-color.png", height = "45px"),
+style = "margin-right: 15px;"
+),
+a(
+img(src = "www/cornell_seal_simple_web_b31b1b.png", height = "45px")
+)
+)
+),
+left = div(
+style = "display: flex; align-items: center; height: 100%;",
+sprintf("v%s", as.character(utils::packageVersion("familia")))
+)
+),
+dashboardBody(
+disconnectMessage(), #Adds generic error message for any error if not already accounted for
+tags$style(
+HTML(
+".main-footer {
+background-color: white;
+color: grey;
+height: 65px;
+padding-top: 5px;
+padding-bottom: 5px;
+}
+.main-footer a {
+color: grey;
+}"
+)
+),
+tabItems(
+tabItem(
+tabName = "welcome", mod_Home_ui("Home_1")
+),
+tabItem(
+tabName = "polybreedtools", mod_polybreedtools_ui("PolyBreedTools_1")
+),
+tabItem(
+tabName = "snmf", mod_SNMF_ui("SNMF_1")
+),
+tabItem(
+tabName = "parentage", mod_parentage_ui("parentage_1")
+),
+tabItem(
+tabName = "validate_pedigree", mod_validate_pedigree_ui("validate_pedigree_1")
+),
+tabItem(
+tabName = "help", mod_help_ui("help_1")
+)
+)
+)
+)
+)
+familia::run_app()
+familia::run_app()
+familia::run_app()
+familia::run_app()
+familia::run_app()
+familia::run_app()
+familia::run_app()
+familia::run_app()
+devtools::load_all()
+familia::run_app()
+run_app()
+roxygen2::roxygenize()
+devtools::load_all()
+run_app()
+devtools::load_all()
+run_app()
+run_app()
+devtools::load_all()
+run_app()
+devtools::load_all()
+devtools::load_all()
+run_app()
+roxygen2::roxygenize()
+devtools::load_all()
+run_app()
+devtools::load_all()
+run_app()
+run_app()
+devtools::load_all()
+run_app()
+run_app()
+devtools::load_all()
+run_app()
+run_app()
+devtools::load_all()
+run_app()
+devtools::load_all()
+run_app()
+devtools::load_all()
+run_app()
+devtools::load_all()
+run_app()
+run_app()
+devtools::load_all()
+run_app()
+run_app()
+devtools::load_all()
+run_app()
+run_app()
+devtools::load_all()
+run_app()
+devtools::load_all()
+run_app()
+run_app()
+devtools::load_all()
+run_app()
+run_app()
+devtools::load_all()
+run_app()
+run_app()
+devtools::load_all()
+run_app()
+devtools::load_all()
+run_app()
+run_app()
+run_app()
+devtools::load_all()
+run_app()
+devtools::load_all()
+devtools::load_all()
+run_app()
+run_app()
+devtools::load_all()
+run_app()
+run_app()
+devtools::load_all()
+run_app()
+run_app()
+devtools::load_all()
+run_app()
+run_app()
+run_app()
+devtools::load_all()
+run_app()
+devtools::load_all()
+run_app()
+devtools::load_all()
+run_app()
+devtools::load_all()
+run_app()
+run_app()
+devtools::load_all()
+run_app()
diff --git a/.gitignore b/.gitignore
index 5b6a065..7ef3ead 100644
--- a/.gitignore
+++ b/.gitignore
@@ -2,3 +2,4 @@
 .Rhistory
 .RData
 .Ruserdata
+.positai
diff --git a/NAMESPACE b/NAMESPACE
index 9713799..d549096 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -40,7 +40,6 @@ importFrom(httr,content)
 importFrom(httr,status_code)
 importFrom(scales,comma_format)
 importFrom(shiny,NS)
-importFrom(shiny,includeMarkdown)
 importFrom(shiny,shinyApp)
 importFrom(shiny,tagList)
 importFrom(shinydisconnect,disconnectMessage)
diff --git a/inst/.gitignore b/inst/.gitignore
new file mode 100644
index 0000000..8f45b0b
--- /dev/null
+++ b/inst/.gitignore
@@ -0,0 +1 @@
+SNMF_test.vcf
diff --git a/inst/SNMF_test.vcf b/inst/SNMF_test.vcf
new file mode 100644
index 0000000000000000000000000000000000000000..1bd2cc2d4c9b5a50ee767e84d295e47c35dc8e48
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literal 0
HcmV?d00001


From c6d4f0dc6a3a91af303199dff0ddcabef85e879a Mon Sep 17 00:00:00 2001
From: "josue.chinchilla" <josue.chinchilla@IFASadmins-MacBook-Pro.local>
Date: Thu, 14 May 2026 10:24:19 -0400
Subject: [PATCH 05/26] moved test data

---
 .DS_Store          | Bin 14340 -> 14340 bytes
 inst/.DS_Store     | Bin 0 -> 10244 bytes
 inst/SNMF_test.vcf | Bin 493448 -> 0 bytes
 3 files changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 inst/.DS_Store
 delete mode 100644 inst/SNMF_test.vcf

diff --git a/.DS_Store b/.DS_Store
index 3cd33c3864814afb0abf3df4dec58b7b0985d897..80c4f8b757e5b7cb5c31b3b1644679a43d98b63b 100644
GIT binary patch
delta 64
zcmZoEXerpxpvky%a-(J;k7RYVp{0?fj)JMB;pBzl(v01cA1KI+^)N6nurOpY<S`U8
Ul%y0V=OpFl=P+#c*V@Vp0HDDW%>V!Z

delta 36
rcmZoEXerpxpgGxHVUI8iLncEWLoq{1N^x>dQht68gUDuot*yKO>y!*3

diff --git a/inst/.DS_Store b/inst/.DS_Store
new file mode 100644
index 0000000000000000000000000000000000000000..e96c142eb0784b75f3f6cd7e67df0242678216d7
GIT binary patch
literal 10244
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diff --git a/inst/SNMF_test.vcf b/inst/SNMF_test.vcf
deleted file mode 100644
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GIT binary patch
literal 0
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From 96904f3d0b62b06eb3b9cda074e92820a8cdd1dc Mon Sep 17 00:00:00 2001
From: "josue.chinchilla" <josue.chinchilla@IFASadmins-MacBook-Pro.local>
Date: Thu, 14 May 2026 10:31:05 -0400
Subject: [PATCH 06/26] added data folder to gitignore

---
 inst/.gitignore | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/inst/.gitignore b/inst/.gitignore
index 8f45b0b..3af0ccb 100644
--- a/inst/.gitignore
+++ b/inst/.gitignore
@@ -1 +1 @@
-SNMF_test.vcf
+/data

From 1b0e8cbbce80f934ffbb2c1bc05370c03cdd737d Mon Sep 17 00:00:00 2001
From: "josue.chinchilla" <josue.chinchilla@IFASadmins-MacBook-Pro.local>
Date: Fri, 15 May 2026 16:49:02 -0400
Subject: [PATCH 07/26] implemented fixes flagged during pull request review

---
 .DS_Store              | Bin 14340 -> 14340 bytes
 .Rhistory              |  42 ++++-----
 DESCRIPTION            |   5 +-
 R/app_ui.R             |  81 ++++++++----------
 R/mod_SNMF.R           | 188 +++++++++++++----------------------------
 R/mod_ped_cleaner.R    | 104 ++++++++++++-----------
 R/mod_polybreedtools.R |  89 +++++--------------
 7 files changed, 193 insertions(+), 316 deletions(-)

diff --git a/.DS_Store b/.DS_Store
index 80c4f8b757e5b7cb5c31b3b1644679a43d98b63b..52c0cb9c44425914fb95c19038bce9ee71f5cfe1 100644
GIT binary patch
delta 1147
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q#+p0af%@gZ=4iY7MyRLaE@H!(vQp`^Me<AG=S%XXZI`{K*1rLx02H$T

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diff --git a/.Rhistory b/.Rhistory
index eb99a94..9d16f85 100644
--- a/.Rhistory
+++ b/.Rhistory
@@ -1,24 +1,3 @@
-x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
-y = paste0("PC3 (", round(variance_explained[3], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 2: PC1 vs PC3 ----
-ggplot(pca_df, aes(x = PC1, y = PC3, color = Species)) +
-geom_point(size = 2) +
-stat_ellipse(aes(group = Species), level = 0.90) +
-theme_minimal() +
-labs(
-title =  "PCA for Trachycarpus Species",
-x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
-y = paste0("PC3 (", round(variance_explained[3], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 2: PC1 vs PC3 ----
-ggplot(pca_df, aes(x = PC1, y = PC3, color = Species)) +
-geom_point(size = 2) +
-#stat_ellipse(aes(group = Species), level = 0.90) +
-theme_minimal() +
-labs(
 title =  "PCA for Trachycarpus Species",
 x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
 y = paste0("PC3 (", round(variance_explained[3], 1), "%)")
@@ -510,3 +489,24 @@ run_app()
 run_app()
 devtools::load_all()
 run_app()
+anole_vcf <-
+read.vcfR(
+"https://github.com/ivanprates/2018_Anolis_EcolEvol/blob/master/data/VCFtools_SNMF_punctatus_t70_s10_n46/punctatus_t70_s10_n46_filtered.recode.vcf?raw=true"
+)
+anole_vcf <-
+vcfR::read.vcfR(
+"https://github.com/ivanprates/2018_Anolis_EcolEvol/blob/master/data/VCFtools_SNMF_punctatus_t70_s10_n46/punctatus_t70_s10_n46_filtered.recode.vcf?raw=true"
+)
+View(anole_vcf)
+vcfR::write.vcf(anole_vcf, "SNMF_test.vcf")
+roxygen2::roxygenise()
+devtools::document()
+run_app()
+install.packages("LEA")
+install.packages("remotes")          # if you haven’t
+remotes::install_github("bioPop/LEA")
+if (!requireNamespace("BiocManager", quietly = TRUE))
+install.packages("BiocManager")
+BiocManager::install("LEA")
+devtools::load_all()
+run_app()
diff --git a/DESCRIPTION b/DESCRIPTION
index 6c06189..fa559ea 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -16,7 +16,6 @@ Description: This R shiny app provides a web-based user friendly way for researc
 License: Apache License (>= 2)
 Encoding: UTF-8
 Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.3.3
 Depends: R (>= 4.4.0)
 biocViews:
 Imports: 
@@ -33,9 +32,11 @@ Imports:
     shinyWidgets,
     shinydisconnect,
     shinyjs,
-    RColorBrewer
+    RColorBrewer,
+    zip
 Suggests:
     LEA,
     spelling,
     testthat
 Language: en-US
+Config/roxygen2/version: 8.0.0
diff --git a/R/app_ui.R b/R/app_ui.R
index 130b1d4..21db514 100644
--- a/R/app_ui.R
+++ b/R/app_ui.R
@@ -12,10 +12,10 @@ app_ui <- function(request) {
   tagList(
     # Leave this function for adding external resources
     golem_add_external_resources(),
-    # Dynamic sidebar color theme — only sets the :root CSS variables
     # ── Sidebar color theme ──────────────────────────────────────────────────────
-    # Change this value to switch the active sidebar menu item color.
+    # Dynamic sidebar color theme — only sets the :root CSS variables
     # Available options: "azure", "green", "yellow", "grey", "purple", "red"
+    # Change this value to switch the active sidebar menu item color.
     # ─────────────────────────────────────────────────────────────────────────────
     tags$head(tags$style(HTML(sprintf(
       ":root { --sidebar-core: var(--%s-core); --sidebar-lite: var(--%s-lite); --sidebar-deep: var(--%s-deep); }",
@@ -31,22 +31,22 @@ app_ui <- function(request) {
         rightUi = tags$li(
           class = "dropdown",
           tags$a(
-            href = "#",
-            class = "nav-link",
+            href          = "#",
+            class         = "nav-link",
             `data-toggle` = "dropdown",
             icon("info-circle")
           ),
           tags$div(
             class = "dropdown-menu dropdown-menu-right",
             tags$a(
-              class = "dropdown-item",
-              href = "#",
+              class   = "dropdown-item",
+              href    = "#",
               "Session Info",
               onclick = "Shiny.setInputValue('session_info_button', Math.random())"
             ),
             tags$a(
-              class = "dropdown-item",
-              href = "#",
+              class   = "dropdown-item",
+              href    = "#",
               "Check for Updates",
               onclick = "Shiny.setInputValue('updates_info_button', Math.random())"
             )
@@ -55,32 +55,29 @@ app_ui <- function(request) {
       ),
       help = NULL, #This is the default bs4Dash button to control the presence of tooltips and popovers, which can be added as a user help/info feature.
       bs4DashSidebar(
-        skin="light",
-        status = "warning",
-        fixed=TRUE,
-        #minified = F,
+        skin          = "light",
+        status        = "warning",
+        fixed         = TRUE,
         expandOnHover = TRUE,
-        sidebarMenu(id = "MainMenu",
+        sidebarMenu(
+          id   = "MainMenu",
           flat = FALSE,
           tags$li(class = "header", style = "color: grey; margin-top: 10px; margin-bottom: 10px; padding-left: 15px;", "Menu"),
-                   menuItem("Home", tabName = "welcome", icon = icon("house"),startExpanded = FALSE),
+          menuItem("Home", tabName = "welcome", icon = icon("house"), startExpanded = FALSE),
           tags$li(class = "header", style = "color: grey; margin-top: 18px; margin-bottom: 10px; padding-left: 15px;", "Pedigree & Parentage"),
-                  menuItem("Pedigree Cleaner", tabName = "ped_cleaner", icon = icon("sitemap")),
+          menuItem("Pedigree Cleaner", tabName = "ped_cleaner", icon = icon("sitemap")),
           tags$li(class = "header", style = "color: grey; margin-top: 18px; margin-bottom: 10px; padding-left: 15px;", "Breed/Line Composition"),
-                  menuItem(HTML("BreedTools<sup>poly</sup>"), tabName = "polybreedtools", icon = icon("chart-column")),
-                  menuItem("SNMF", tabName = "snmf", icon = icon("list-ol")),
+          menuItem(HTML("BreedTools<sup>poly</sup>"), tabName = "polybreedtools", icon = icon("chart-column")),
+          menuItem("SNMF", tabName = "snmf", icon = icon("list-ol")),
+          # ── Genomic Diversity tab intentionally removed ──────────────────────
           tags$li(class = "header", style = "color: grey; margin-top: 18px; margin-bottom: 10px; padding-left: 15px;", "Information"),
           menuItem("Source Code", icon = icon("circle-info"), href = "https://github.com/Breeding-Insight/familia"),
-          #menuItem(
-          #  span("Job Queue", bs4Badge("demo", position = "right", color = "warning")),
-          #  tabName = "slurm",
-          #  icon = icon("clock")),
           menuItem("Help", tabName = "help", icon = icon("circle-question"))
         )
       ),
       footer = dashboardFooter(
         right = div(
-          style = "display: flex; align-items: center;",  # Align text and images horizontally
+          style = "display: flex; align-items: center;",
           div(
             style = "display: flex; flex-direction: column; margin-right: 15px; text-align: right;",
             div("2026 Breeding Insight"),
@@ -97,7 +94,7 @@ app_ui <- function(request) {
           )
         ),
         left = div(
-          style = "display: flex; align-items: center; height: 100%;",  
+          style = "display: flex; align-items: center; height: 100%;",
           sprintf("v%s", as.character(utils::packageVersion("familia")))
         )
       ),
@@ -106,15 +103,15 @@ app_ui <- function(request) {
         tags$style(
           HTML(
             ".main-footer {
-            background-color: white;
-            color: grey;
-            height: 65px;
-            padding-top: 5px;
-            padding-bottom: 5px;
-          }
-          .main-footer a {
-            color: grey;
-          }"
+              background-color: white;
+              color: grey;
+              height: 65px;
+              padding-top: 5px;
+              padding-bottom: 5px;
+            }
+            .main-footer a {
+              color: grey;
+            }"
           )
         ),
         tabItems(
@@ -122,7 +119,7 @@ app_ui <- function(request) {
             tabName = "welcome", mod_Home_ui("Home_1")
           ),
           tabItem(
-            tabName = "ped_cleaner", mod_ped_cleaner_ui("ped_cleaner_1")   # ADD THIS
+            tabName = "ped_cleaner", mod_ped_cleaner_ui("ped_cleaner_1")
           ),
           tabItem(
             tabName = "polybreedtools", mod_polybreedtools_ui("PolyBreedTools_1")
@@ -152,11 +149,10 @@ golem_add_external_resources <- function() {
     "www",
     app_sys("app/www")
   )
-  
   tags$head(
     favicon(),
     bundle_resources(
-      path = app_sys("app/www"),
+      path      = app_sys("app/www"),
       app_title = "familia"
     ),
     # Add here other external resources
@@ -167,18 +163,7 @@ golem_add_external_resources <- function() {
       /* Make collapse/expand icons visible on white box headers */
       .card-tools .btn-tool { color: #495057 !important; }
       .card-tools .btn-tool:hover { color: #212529 !important; }
-    ")),
-    tags$script(HTML("
-      $(document).ready(function() {
-        // On page load: mirror active class from <li> onto <a> for CSS targeting
-        $('#cnv_1-sample_select_tabs li.active > a').addClass('active');
-
-        // After each tab switch (content already swapped): sync active on <a> only
-        $(document).on('shown.bs.tab', '#cnv_1-sample_select_tabs a[data-toggle=\"tab\"]', function(e) {
-          $('#cnv_1-sample_select_tabs a[data-toggle=\"tab\"]').removeClass('active');
-          $(e.target).addClass('active');
-        });
-      });
     "))
+    # ── Tab-sync script removed: handler already defined in custom.js ────────
   )
-}
+}
\ No newline at end of file
diff --git a/R/mod_SNMF.R b/R/mod_SNMF.R
index 9de52d8..8e838f0 100644
--- a/R/mod_SNMF.R
+++ b/R/mod_SNMF.R
@@ -12,7 +12,6 @@
 #' @importFrom bs4Dash valueBoxOutput
 mod_SNMF_ui <- function(id) {
   ns <- shiny::NS(id)
-  
   shiny::tagList(
     shiny::fluidRow(
       shinydisconnect::disconnectMessage(
@@ -24,8 +23,7 @@ mod_SNMF_ui <- function(id) {
         overlayOpacity = 0.3,
         refreshColour  = "purple"
       ),
-      
-      #  Column 1: Inputs 
+      #  Column 1: Inputs
       shiny::column(
         width = 3,
         bs4Dash::box(
@@ -77,8 +75,7 @@ mod_SNMF_ui <- function(id) {
           )
         )  # closes box
       ),  # closes column(width = 3)
-      
-      #  Column 2: Results 
+      #  Column 2: Results
       shiny::column(
         width = 6,
         bs4Dash::box(
@@ -127,8 +124,7 @@ mod_SNMF_ui <- function(id) {
           )
         )  # closes box
       ),  # closes column(width = 6)
-      
-      #  Column 3: Status + Plot Controls 
+      #  Column 3: Status + Plot Controls
       shiny::column(
         width = 3,
         bs4Dash::valueBoxOutput(ns("snmf_best_k_box"),  width = NULL),
@@ -154,6 +150,18 @@ mod_SNMF_ui <- function(id) {
           solidHeader = TRUE,
           collapsible = TRUE,
           shiny::uiOutput(ns("snmf_selectors_ui")),
+          # ── Palette and label controls (mirrored from PolyBreedTools) ──────
+          selectInput(ns("snmf_color_choice"), "Color Palette",
+                      choices = list(
+                        "Standard Palettes"   = c("Set1","Set3","Pastel2","Pastel1","Accent","Spectral","RdYlGn","RdGy"),
+                        "Colorblind Friendly" = c("Set2","Paired","Dark2","YlOrRd","YlOrBr","YlGnBu","YlGn",
+                                                  "Reds","RdPu","Purples","PuRd","PuBuGn","PuBu","OrRd",
+                                                  "Oranges","Greys","Greens","GnBu","BuPu","BuGn","Blues",
+                                                  "RdYlBu","RdBu","PuOr","PRGn","PiYG","BrBG")
+                      ),
+                      selected = "Set1"),
+          checkboxInput(ns("snmf_show_sample_labels"), "Show sample labels", value = TRUE),
+          sliderInput(ns("snmf_label_size"), "Label size", min = 6, max = 14, value = 8, step = 1),
           div(
             style = "display:inline-block; float:left",
             dropdownButton(
@@ -178,20 +186,15 @@ mod_SNMF_ui <- function(id) {
           )
         )  # closes Plot Controls box
       )   # closes column(width = 3)
-      
     )  # closes fluidRow
   )    # closes tagList
 }
-
 #' SNMF Server Functions
 #'
 #' @noRd
 mod_SNMF_server <- function(input, output, session, parent_session) {
-  
   ns <- session$ns
-  
   `%||%` <- function(x, y) if (is.null(x)) y else x
-  
   make_collapse_panel <- function(panel_id, icon_name, label, body_content) {
     shiny::tags$div(
       class = "card mb-1",
@@ -220,8 +223,7 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       )
     )
   }
-  
-  #  Help button 
+  #  Help button
   shiny::observeEvent(input$help_btn, {
     shiny::showModal(
       shiny::modalDialog(
@@ -233,12 +235,10 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       )
     )
   })
-  
   set_status <- function(...) {
     msg <- paste0(...)
     output$snmf_status <- shiny::renderText(msg)
   }
-  
   show_error <- function(title, message) {
     shiny::showModal(shiny::modalDialog(
       title     = title,
@@ -247,60 +247,48 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       message
     ))
   }
-  
   call_with_allowed_named_args <- function(fun, args) {
     allowed <- names(formals(fun))
     if (is.null(allowed)) return(do.call(fun, args))
     keep <- names(args) == "" | names(args) %in% allowed
     do.call(fun, args[keep])
   }
-  
   same_path <- function(path_a, path_b) {
     identical(
       normalizePath(path_a, winslash = "/", mustWork = FALSE),
       normalizePath(path_b, winslash = "/", mustWork = FALSE)
     )
   }
-  
   copy_file_if_needed <- function(from, to, overwrite = TRUE) {
     if (same_path(from, to)) return(to)
     ok <- file.copy(from, to, overwrite = overwrite)
     if (!isTRUE(ok)) stop("Failed to copy file from ", from, " to ", to, call. = FALSE)
     to
   }
-  
   write_vcf_upload_as_geno <- function(vcf_path, geno_path) {
     vcf <- vcfR::read.vcfR(vcf_path, verbose = FALSE)
     gt  <- as.matrix(vcfR::extract.gt(vcf, element = "GT"))
-    
     if (nrow(gt) == 0 || ncol(gt) == 0) {
       stop("No genotype calls were found in the uploaded VCF.", call. = FALSE)
     }
-    
     dosage_cols <- lapply(seq_len(ncol(gt)), function(i) BIGr:::convert_to_dosage(gt[, i]))
     dosage_mat  <- do.call(cbind, dosage_cols)
     colnames(dosage_mat) <- colnames(gt)
     rownames(dosage_mat) <- rownames(gt)
-    
     lea_mat <- t(dosage_mat)
     lea_mat[is.na(lea_mat)] <- 9
     storage.mode(lea_mat) <- "integer"
-    
     LEA::write.geno(lea_mat, geno_path)
-    
     list(geno_path = geno_path, sample_ids = colnames(gt))
   }
-  
   run_ctx <- new.env(parent = emptyenv())
   run_ctx$run_dir <- NULL
-  
   cleanup_run_dir <- function(path = run_ctx$run_dir) {
     if (!is.null(path) && dir.exists(path)) {
       unlink(path, recursive = TRUE, force = TRUE)
     }
     if (identical(run_ctx$run_dir, path)) run_ctx$run_dir <- NULL
   }
-  
   state <- shiny::reactiveValues(
     run_dir         = NULL,
     project         = NULL,
@@ -315,8 +303,7 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
     best_run_by_k   = NULL,
     sample_ids      = NULL
   )
-  
-  #  Value boxes 
+  #  Value boxes
   output$snmf_best_k_box <- bs4Dash::renderValueBox({
     bs4Dash::valueBox(
       value    = if (!is.null(state$best_k)) state$best_k else "\u2014",
@@ -325,7 +312,6 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       color    = "info"
     )
   })
-  
   output$snmf_best_ce_box <- bs4Dash::renderValueBox({
     bs4Dash::valueBox(
       value = if (isTRUE(state$entropy_enabled) && !is.null(state$ce_summary)) {
@@ -340,8 +326,7 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       color    = "olive"
     )
   })
-  
-  #  Selectors UI ─
+  #  Selectors UI
   output$snmf_selectors_ui <- shiny::renderUI({
     if (is.null(state$project) || is.null(state$k_values) || is.null(state$repetitions)) {
       return(shiny::HTML("<em>Run SNMF to enable K/run selectors and downloads.</em>"))
@@ -361,7 +346,6 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       )
     )
   })
-  
   observeEvent(input$snmf_selected_k, {
     req(state$project, state$k_values, state$repetitions)
     k            <- as.integer(input$snmf_selected_k)
@@ -375,30 +359,25 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       selected = as.character(selected_run)
     )
   }, ignoreInit = TRUE)
-  
   selected_k <- shiny::reactive({
     req(state$project, state$k_values)
     k <- input$snmf_selected_k
     if (is.null(k) || !nzchar(k)) return(as.integer(state$best_k %||% state$k_values[[1]]))
     as.integer(k)
   })
-  
   selected_run <- shiny::reactive({
     req(state$project, state$repetitions)
     r <- input$snmf_selected_run
     if (is.null(r) || !nzchar(r)) return(1L)
     as.integer(r)
   })
-  
-  #  Q matrix reactive 
+  #  Q matrix reactive
   q_matrix <- shiny::reactive({
     req(state$project)
     k <- selected_k()
     r <- selected_run()
-    
     q <- call_with_allowed_named_args(LEA::Q, list(state$project, K = k, run = r))
     q <- as.matrix(q)
-    
     if (!is.null(state$sample_ids) && length(state$sample_ids) == nrow(q)) {
       rownames(q) <- state$sample_ids
     } else if (is.null(rownames(q))) {
@@ -407,20 +386,21 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
     colnames(q) <- paste0("Cluster", seq_len(ncol(q)))
     q
   })
-  
-  #  Outputs 
-  output$snmf_q_table <- DT::renderDT({
-    q  <- q_matrix()
-    df <- data.frame(ID = rownames(q), q, check.names = FALSE)
-    DT::datatable(df, options = list(scrollX = TRUE, pageLength = 10))
+  # ── Shared plot helpers (used by both render outputs and download handler) ──
+  ce_plot <- shiny::reactive({
+    validate(shiny::need(isTRUE(state$entropy_enabled), "Cross-entropy disabled (see Selection mode)."))
+    validate(shiny::need(!is.null(state$ce_summary),    "Run SNMF to compute cross-entropy."))
+    ggplot(state$ce_summary, aes(x = K, y = min_cross_entropy)) +
+      geom_line() +
+      geom_point() +
+      labs(x = "K", y = "Minimum cross-entropy", title = "SNMF cross-entropy by K") +
+      theme_minimal()
   })
-  
-  output$snmf_q_plot <- shiny::renderPlot({
+  ancestry_plot <- shiny::reactive({
     q      <- q_matrix()
     df     <- data.frame(ID = rownames(q), q, check.names = FALSE)
     q_cols <- colnames(q)
-    
-    long <- stats::reshape(
+    long   <- stats::reshape(
       df,
       varying   = q_cols,
       v.names   = "Q",
@@ -430,36 +410,45 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
     )
     long$ID      <- factor(long$ID,      levels = unique(df$ID))
     long$Cluster <- factor(long$Cluster, levels = q_cols)
-    
-    ggplot(long, ggplot2::aes(x = ID, y = Q, fill = Cluster)) +
+    p <- ggplot(long, ggplot2::aes(x = ID, y = Q, fill = Cluster)) +
       geom_col(width = 0.9) +
+      scale_fill_brewer(palette = input$snmf_color_choice %||% "Set1") +
       scale_y_continuous(labels = scales::percent_format(accuracy = 1)) +
       labs(x = "Individual", y = "Ancestry proportion", fill = "Cluster") +
       theme_minimal() +
       theme(
-        axis.text.x        = element_text(angle = 45, hjust = 1, vjust = 1, size = 8),
+        axis.text.x        = element_text(
+          angle = 45, hjust = 1, vjust = 1,
+          size  = as.numeric(input$snmf_label_size %||% 8)
+        ),
         panel.grid.major.x = element_blank()
       )
+    if (!isTRUE(input$snmf_show_sample_labels)) {
+      p <- p + theme(
+        axis.text.x  = element_blank(),
+        axis.ticks.x = element_blank()
+      )
+    }
+    p
+  })
+  #  Outputs
+  output$snmf_q_table <- DT::renderDT({
+    q  <- q_matrix()
+    df <- data.frame(ID = rownames(q), q, check.names = FALSE)
+    DT::datatable(df, options = list(scrollX = TRUE, pageLength = 10))
+  })
+  output$snmf_q_plot <- shiny::renderPlot({
+    ancestry_plot()
   })
-  
   output$snmf_ce_plot <- shiny::renderPlot({
-    validate(shiny::need(isTRUE(state$entropy_enabled), "Cross-entropy disabled (see Selection mode)."))
-    validate(shiny::need(!is.null(state$ce_summary),    "Run SNMF to compute cross-entropy."))
-    
-    ggplot(state$ce_summary, aes(x = K, y = min_cross_entropy)) +
-      geom_line() +
-      geom_point() +
-      labs(x = "K", y = "Minimum cross-entropy", title = "SNMF cross-entropy by K") +
-      theme_minimal()
+    ce_plot()
   })
-  
   output$snmf_ce_table <- DT::renderDT({
     validate(shiny::need(isTRUE(state$entropy_enabled), "Cross-entropy disabled (see Selection mode)."))
     validate(shiny::need(!is.null(state$ce_summary),    "Run SNMF to compute cross-entropy."))
     DT::datatable(state$ce_summary, options = list(pageLength = 10, scrollX = TRUE))
   })
-  
-  #  Run SNMF 
+  #  Run SNMF
   observeEvent(input$snmf_run, {
     if (!requireNamespace("LEA", quietly = TRUE)) {
       show_error("Missing dependency", "Install the LEA package to use SNMF.")
@@ -469,30 +458,24 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       show_error("Missing input", "Upload a .vcf/.vcf.gz or .geno file.")
       return()
     }
-    
     k_min <- as.integer(input$snmf_k_min)
     k_max <- as.integer(input$snmf_k_max)
     if (is.na(k_min) || is.na(k_max) || k_min < 1 || k_max < 1 || k_min > k_max) {
       show_error("Invalid K range", "K min and K max must be integers with K min \u2264 K max and both \u2265 1.")
       return()
     }
-    
     reps <- as.integer(input$snmf_repetitions)
     if (is.na(reps) || reps < 1) {
       show_error("Invalid repetitions", "Repetitions must be an integer \u2265 1.")
       return()
     }
-    
     ploidy <- as.integer(input$snmf_ploidy)
     if (is.na(ploidy) || ploidy < 1) {
       show_error("Invalid ploidy", "Ploidy must be an integer \u2265 1.")
       return()
     }
-    
     entropy_enabled <- input$snmf_select_mode %in% c("auto_entropy", "manual_entropy")
-    
     cleanup_run_dir()
-    
     state$run_dir         <- tempfile("snmf_", tmpdir = tempdir())
     run_ctx$run_dir       <- state$run_dir
     dir.create(state$run_dir, recursive = TRUE, showWarnings = FALSE)
@@ -507,28 +490,23 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
     state$best_k          <- NULL
     state$best_run_by_k   <- NULL
     state$sample_ids      <- NULL
-    
     shinyWidgets::updateProgressBar(session = session, id = "pb_snmf", value = 5,  title = "Preparing input")
     set_status("Preparing input...\n")
-    
     uploaded_name <- input$snmf_file$name %||% "genotypes"
     ext_lower     <- tolower(uploaded_name)
     file_base     <- sub("\\.(vcf\\.gz|vcf|geno|gz)$", "", basename(uploaded_name), ignore.case = TRUE)
     geno_path     <- file.path(state$run_dir, paste0(file_base, ".geno"))
     uploaded_path <- input$snmf_file$datapath
-    
     # Convert input to .geno if needed
     if (grepl("\\.geno$", ext_lower)) {
       copy_file_if_needed(uploaded_path, geno_path, overwrite = TRUE)
     } else if (grepl("\\.vcf\\.gz$|\\.vcf$|\\.gz$", ext_lower)) {
       shinyWidgets::updateProgressBar(session = session, id = "pb_snmf", value = 15, title = "Converting VCF \u2192 GENO")
       set_status("Converting VCF to GENO...\n")
-      
       vcf_to_geno_res <- tryCatch(
         write_vcf_upload_as_geno(uploaded_path, geno_path),
         error = function(e) e
       )
-      
       if (!file.exists(geno_path)) {
         geno_candidates <- list.files(state$run_dir, pattern = "\\.geno$", full.names = TRUE)
         if (length(geno_candidates) >= 1) {
@@ -536,7 +514,6 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
           copy_file_if_needed(newest, geno_path, overwrite = TRUE)
         }
       }
-      
       if (!file.exists(geno_path)) {
         msg <- if (inherits(vcf_to_geno_res, "error")) vcf_to_geno_res$message else "VCF conversion did not produce a .geno file."
         show_error("VCF conversion failed", msg)
@@ -544,7 +521,6 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
         set_status(paste0("ERROR: ", msg, "\n"))
         return()
       }
-      
       if (is.list(vcf_to_geno_res) && !is.null(vcf_to_geno_res$sample_ids)) {
         state$sample_ids <- vcf_to_geno_res$sample_ids
       }
@@ -554,10 +530,8 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       set_status("ERROR: Unsupported file type.\n")
       return()
     }
-    
     state$geno_path <- geno_path
     state$vcf_path  <- NULL
-    
     shinyWidgets::updateProgressBar(session = session, id = "pb_snmf", value = 35, title = "Running SNMF")
     set_status(
       "Running SNMF...\n",
@@ -566,11 +540,9 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       "Repetitions: ", reps, "\n",
       "Entropy: ", if (entropy_enabled) "enabled" else "disabled", "\n"
     )
-    
     old_wd <- getwd()
     on.exit(setwd(old_wd), add = TRUE)
     setwd(state$run_dir)
-    
     snmf_args <- list(
       state$geno_path,
       K           = state$k_values,
@@ -584,24 +556,19 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       CPU         = as.integer(input$snmf_cpu),
       seed        = as.integer(input$snmf_seed)
     )
-    
     project <- tryCatch(
       call_with_allowed_named_args(LEA::snmf, snmf_args),
       error = function(e) e
     )
-    
     if (inherits(project, "error")) {
       show_error("SNMF failed", project$message)
       shinyWidgets::updateProgressBar(session = session, id = "pb_snmf", value = 0, title = " ")
       set_status(paste0("ERROR: ", project$message, "\n"))
       return()
     }
-    
     state$project <- project
-    
     shinyWidgets::updateProgressBar(session = session, id = "pb_snmf", value = 75, title = "Summarizing results")
     set_status(paste0(capture.output(str(project, max.level = 1)), collapse = "\n"), "\n")
-    
     if (entropy_enabled) {
       ce_records <- list()
       for (k in state$k_values) {
@@ -619,7 +586,6 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
         }
       }
       state$ce_df <- do.call(rbind, ce_records)
-      
       min_ce_by_k   <- tapply(state$ce_df$cross_entropy, state$ce_df$K, min, na.rm = TRUE)
       best_run_by_k <- sapply(names(min_ce_by_k), function(k_chr) {
         k_int <- as.integer(k_chr)
@@ -627,7 +593,6 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
         if (nrow(sub) == 0) return(NA_integer_)
         sub$run[which.min(sub$cross_entropy)]
       })
-      
       state$best_run_by_k <- best_run_by_k
       ce_summary <- data.frame(
         K                 = as.integer(names(min_ce_by_k)),
@@ -635,20 +600,18 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
         min_cross_entropy = as.numeric(min_ce_by_k),
         stringsAsFactors  = FALSE
       )
-      ce_summary      <- ce_summary[order(ce_summary$K), , drop = FALSE]
+      ce_summary       <- ce_summary[order(ce_summary$K), , drop = FALSE]
       state$ce_summary <- ce_summary
       state$best_k     <- ce_summary$K[which.min(ce_summary$min_cross_entropy)]
     } else {
       state$best_k <- state$k_values[[1]]
     }
-    
     # Initialize selectors
     shiny::updateSelectInput(
       session, "snmf_selected_k",
       choices  = as.character(state$k_values),
       selected = as.character(state$best_k %||% state$k_values[[1]])
     )
-    
     initial_run <- 1L
     if (!is.null(state$best_run_by_k)) {
       br <- state$best_run_by_k[as.character(state$best_k)]
@@ -659,12 +622,10 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       choices  = as.character(seq_len(reps)),
       selected = as.character(initial_run)
     )
-    
     shinyWidgets::updateProgressBar(session = session, id = "pb_snmf", value = 100, title = "Complete!")
     set_status("SNMF complete.\n")
   })
-  
-  #  Downloads ─
+  #  Downloads
   output$download_q_csv <- shiny::downloadHandler(
     filename = function() paste0("snmf_Q_K", selected_k(), "_run", selected_run(), "_", Sys.Date(), ".csv"),
     content  = function(file) {
@@ -674,7 +635,6 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       utils::write.csv(df, file, row.names = FALSE)
     }
   )
-  
   output$download_ce_csv <- shiny::downloadHandler(
     filename = function() paste0("snmf_cross_entropy_", Sys.Date(), ".csv"),
     content  = function(file) {
@@ -683,7 +643,6 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       utils::write.csv(state$ce_df %||% data.frame(), file, row.names = FALSE)
     }
   )
-  
   output$download_project_zip <- shiny::downloadHandler(
     filename = function() paste0("snmf_project_", Sys.Date(), ".zip"),
     content  = function(file) {
@@ -691,10 +650,8 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       export_try <- function(args) {
         tryCatch(call_with_allowed_named_args(LEA::export.snmfProject, args), error = function(e) e)
       }
-      
       res <- export_try(list(state$project, file = file))
       if (file.exists(file)) return()
-      
       res2 <- export_try(list(state$project))
       if (is.character(res2) && length(res2) >= 1) {
         if (file.exists(res2[[1]])) { file.copy(res2[[1]], file, overwrite = TRUE); return() }
@@ -705,20 +662,17 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
           return()
         }
       }
-      
       zips <- list.files(state$run_dir, pattern = "\\.zip$", full.names = TRUE)
       if (length(zips) >= 1) {
         newest <- zips[which.max(file.info(zips)$mtime)]
         file.copy(newest, file, overwrite = TRUE)
         return()
       }
-      
       if (inherits(res,  "error")) stop(res$message)
       if (inherits(res2, "error")) stop(res2$message)
       stop("export.snmfProject() did not produce a zip file.")
     }
   )
-  
   output$download_snmf_figure <- shiny::downloadHandler(
     filename = function() {
       ext <- input$snmf_image_type %||% "jpeg"
@@ -733,31 +687,8 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       height <- as.numeric(input$snmf_image_height %||% 5)
       dpi    <- as.numeric(input$snmf_image_res    %||% 300)
       fig    <- input$snmf_figure %||% "Ancestry Plot"
-      
-      p <- if (fig == "Cross-Entropy Plot") {
-        validate(shiny::need(isTRUE(state$entropy_enabled), "Cross-entropy disabled."))
-        validate(shiny::need(!is.null(state$ce_summary),    "Run SNMF first."))
-        ggplot(state$ce_summary, aes(x = K, y = min_cross_entropy)) +
-          geom_line() + geom_point() +
-          labs(x = "K", y = "Minimum cross-entropy", title = "SNMF cross-entropy by K") +
-          theme_minimal()
-      } else {
-        q      <- q_matrix()
-        df     <- data.frame(ID = rownames(q), q, check.names = FALSE)
-        q_cols <- colnames(q)
-        long   <- stats::reshape(df, varying = q_cols, v.names = "Q", timevar = "Cluster",
-                                 times = q_cols, direction = "long")
-        long$ID      <- factor(long$ID,      levels = unique(df$ID))
-        long$Cluster <- factor(long$Cluster, levels = q_cols)
-        ggplot(long, ggplot2::aes(x = ID, y = Q, fill = Cluster)) +
-          geom_col(width = 0.9) +
-          scale_y_continuous(labels = scales::percent_format(accuracy = 1)) +
-          labs(x = "Individual", y = "Ancestry proportion", fill = "Cluster") +
-          theme_minimal() +
-          theme(axis.text.x = element_text(angle = 45, hjust = 1, vjust = 1, size = 8),
-                panel.grid.major.x = element_blank())
-      }
-      
+      # ── Shared plot helpers called here; no duplicated plot logic ─────────
+      p <- if (fig == "Cross-Entropy Plot") ce_plot() else ancestry_plot()
       if (ext %in% c("png", "jpeg", "tiff")) {
         ggplot2::ggsave(filename = file, plot = p, width = width, height = height, units = "in", dpi = dpi)
       } else {
@@ -765,14 +696,11 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       }
     }
   )
-  
   session$onSessionEnded(function() {
     cleanup_run_dir()
   })
 }
-
 ## To be copied in the UI
 # mod_SNMF_ui("SNMF_1")
-
 ## To be copied in the server
 # mod_SNMF_server("SNMF_1")
\ No newline at end of file
diff --git a/R/mod_ped_cleaner.R b/R/mod_ped_cleaner.R
index 7e1632e..165569d 100644
--- a/R/mod_ped_cleaner.R
+++ b/R/mod_ped_cleaner.R
@@ -1,3 +1,4 @@
+
 #' Pedigree Cleaner module UI
 #'
 #' @param id Module id
@@ -9,7 +10,7 @@ mod_ped_cleaner_ui <- function(id) {
     shinyjs::useShinyjs(),
     shiny::fluidRow(
       
-      # ── Column 1: Inputs ──────────────────────────────────────────────────
+      # Column 1: Inputs 
       shiny::column(
         width = 3,
         bs4Dash::box(
@@ -53,7 +54,7 @@ mod_ped_cleaner_ui <- function(id) {
         )  # closes box
       ),  # closes column(width = 3)
       
-      # ── Column 2: Results ─────────────────────────────────────────────────
+      # Column 2: Results 
       shiny::column(
         width = 6,
         bs4Dash::box(
@@ -102,7 +103,7 @@ mod_ped_cleaner_ui <- function(id) {
         )  # closes box
       ),  # closes column(width = 6)
       
-      # ── Column 3: Status ──────────────────────────────────────────────────
+      # Column 3: Status 
       shiny::column(
         width = 3,
         bs4Dash::box(
@@ -121,11 +122,11 @@ mod_ped_cleaner_ui <- function(id) {
           )
         )
       )  # closes column(width = 3)
-      
     )  # closes fluidRow
   )    # closes tagList
 }
 
+
 #' Pedigree Cleaner module server
 #'
 #' @param id Module id
@@ -137,39 +138,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
     
     check_results <- shiny::reactiveVal(NULL)
     
-    # ── Helpers ───────────────────────────────────────────────────────────────
-    make_collapse_panel <- function(panel_id, icon_name, label, body_content) {
-      shiny::tags$div(
-        class = "card mb-1",
-        style = "border: 1px solid #dee2e6; border-radius: 4px;",
-        shiny::tags$div(
-          class = "card-header p-0",
-          style = "background-color: #f8f9fa;",
-          shiny::tags$button(
-            class           = "btn btn-link btn-sm w-100 text-left d-flex align-items-center",
-            style           = "color: #343a40; text-decoration: none; font-size: 13px; padding: 8px 12px; gap: 6px;",
-            `data-toggle`   = "collapse",
-            `data-target`   = paste0("#", panel_id),
-            `aria-expanded` = "false",
-            shiny::icon(icon_name),
-            shiny::tags$span(label)
-          )
-        ),
-        shiny::tags$div(
-          id    = panel_id,
-          class = "collapse",
-          shiny::tags$div(
-            class = "card-body",
-            style = "padding: 12px 14px; font-size: 13px;",
-            body_content
-          )
-        )
-      )
-    }
-    
-    sanitize_id <- function(x) gsub("[^A-Za-z0-9]", "_", tolower(x))
-    
-    # ── Help button ───────────────────────────────────────────────────────────
+    # Help button 
     shiny::observeEvent(input$help_btn, {
       shiny::showModal(
         shiny::modalDialog(
@@ -182,11 +151,11 @@ mod_ped_cleaner_server <- function(id, parent_session) {
       )
     })
     
-    # ── Run check ─────────────────────────────────────────────────────────────
+    # Run check 
     shiny::observeEvent(input$run_check, {
       shiny::req(input$ped_file)
       check_results(NULL)
-      shinyjs::disable(session$ns("download_results"))
+      shinyjs::disable("download_results")          # ← un-namespaced; shinyjs handles it
       
       tryCatch({
         shinyWidgets::updateProgressBar(
@@ -237,16 +206,21 @@ mod_ped_cleaner_server <- function(id, parent_session) {
           title = "Detecting cycles and dependencies..."
         )
         
+        # Correction 3: write ped_raw to a known-extension temp file 
+        tmp_ped_path <- tempfile(fileext = ".txt")
+        write.table(ped_raw, tmp_ped_path,
+                    sep = "\t", row.names = FALSE, quote = FALSE)
+        
         report <- BIGr::check_ped(
-          ped.file = tmp_path,
+          ped.file = tmp_ped_path,
           verbose  = FALSE,
           save_zip = FALSE
         )
         
-        file_base_actual <- tools::file_path_sans_ext(basename(tmp_path))
-        corrected_name   <- paste0(file_base_actual, "_corrected")
-        corrected_ped    <- tryCatch(
-          get(corrected_name, envir = .GlobalEnv, inherits = FALSE),
+        # Correction 4: retrieve corrected pedigree from check_ped return 
+        # Use the session-local report value instead of reaching into .GlobalEnv
+        corrected_ped <- tryCatch(
+          report$corrected_ped,
           error = function(e) NULL
         )
         
@@ -260,7 +234,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
           value = 100, status = "success",
           title = "Finished"
         )
-        shinyjs::enable(session$ns("download_results"))
+        shinyjs::enable("download_results")          # ← un-namespaced; shinyjs handles it
         
         bs4Dash::updateTabsetPanel(session, "ped_results_tabs", selected = "Summary")
         
@@ -273,7 +247,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
       })
     })
     
-    # ── Summary banner ────────────────────────────────────────────────────────
+    # Summary banner 
     output$summary_banner <- shiny::renderUI({
       shiny::req(check_results())
       report <- check_results()$report
@@ -307,7 +281,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
       ))
     })
     
-    # ── Results UI ────────────────────────────────────────────────────────────
+    # Results UI 
     output$results_ui <- shiny::renderUI({
       shiny::req(check_results())
       report <- check_results()$report
@@ -370,7 +344,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
       )
     })
     
-    # ── Download ──────────────────────────────────────────────────────────────
+    # Download
     output$download_results <- shiny::downloadHandler(
       filename = function() {
         paste0("pedigree_check_", Sys.Date(), ".zip")
@@ -413,4 +387,36 @@ mod_ped_cleaner_server <- function(id, parent_session) {
     )
     
   })
-}
\ No newline at end of file
+}
+
+# Helpers
+make_collapse_panel <- function(panel_id, icon_name, label, body_content) {
+  shiny::tags$div(
+    class = "card mb-1",
+    style = "border: 1px solid #dee2e6; border-radius: 4px;",
+    shiny::tags$div(
+      class = "card-header p-0",
+      style = "background-color: #f8f9fa;",
+      shiny::tags$button(
+        class           = "btn btn-link btn-sm w-100 text-left d-flex align-items-center",
+        style           = "color: #343a40; text-decoration: none; font-size: 13px; padding: 8px 12px; gap: 6px;",
+        `data-toggle`   = "collapse",
+        `data-target`   = paste0("#", panel_id),
+        `aria-expanded` = "false",
+        shiny::icon(icon_name),
+        shiny::tags$span(label)
+      )
+    ),
+    shiny::tags$div(
+      id    = panel_id,
+      class = "collapse",
+      shiny::tags$div(
+        class = "card-body",
+        style = "padding: 12px 14px; font-size: 13px;",
+        body_content
+      )
+    )
+  )
+}
+
+sanitize_id <- function(x) gsub("[^A-Za-z0-9]", "_", tolower(x))
\ No newline at end of file
diff --git a/R/mod_polybreedtools.R b/R/mod_polybreedtools.R
index 49ccf80..6067fcf 100644
--- a/R/mod_polybreedtools.R
+++ b/R/mod_polybreedtools.R
@@ -13,8 +13,7 @@ mod_polybreedtools_ui <- function(id) {
   ns <- NS(id)
   tagList(
     fluidRow(
-      
-      #  Column 1: Inputs 
+      #  Column 1: Inputs
       column(
         width = 3,
         bs4Dash::box(
@@ -42,8 +41,7 @@ mod_polybreedtools_ui <- function(id) {
           )
         )  # closes box
       ),  # closes column(width = 3)
-      
-      #  Column 2: Results 
+      #  Column 2: Results
       column(
         width = 6,
         bs4Dash::box(
@@ -106,8 +104,7 @@ mod_polybreedtools_ui <- function(id) {
           )
         )
       ),  # closes column(width = 6)
-      
-      #  Column 3: Status + Plot Controls 
+      #  Column 3: Status + Plot Controls
       shiny::column(
         width = 3,
         bs4Dash::box(
@@ -148,7 +145,7 @@ mod_polybreedtools_ui <- function(id) {
               sliderInput(ns("poly_image_height"), "Height (in)",      value = 5,   min = 3,   max = 20,   step = 0.5),
               fluidRow(
                 downloadButton(ns("download_poly_figure"), "Save Image"),
-                downloadButton(ns("download_poly_file"),   "Save Files")
+                downloadButton(ns("download_poly_file"),   "Save Excel File")
               ),
               circle  = FALSE,
               status  = "danger",
@@ -160,11 +157,9 @@ mod_polybreedtools_ui <- function(id) {
           )
         )  # closes Plot Controls box
       )   # closes column(width = 3)
-      
     )  # closes fluidRow
   )    # closes tagList
 }
-
 #' PolyBreedTools Server Functions
 #'
 #' @importFrom graphics axis hist points
@@ -176,12 +171,9 @@ mod_polybreedtools_ui <- function(id) {
 #'
 #' @noRd
 mod_polybreedtools_server <- function(input, output, session, parent_session) {
-  
   ns <- session$ns
-  
   `%||%` <- function(x, y) if (is.null(x)) y else x
-  
-  #  Helpers 
+  #  Helpers
   make_collapse_panel <- function(panel_id, icon_name, label, body_content) {
     shiny::tags$div(
       class = "card mb-1",
@@ -210,8 +202,7 @@ mod_polybreedtools_server <- function(input, output, session, parent_session) {
       )
     )
   }
-  
-  #  Help button 
+  #  Help button
   shiny::observeEvent(input$help_btn, {
     shiny::showModal(
       shiny::modalDialog(
@@ -223,44 +214,36 @@ mod_polybreedtools_server <- function(input, output, session, parent_session) {
       )
     )
   })
-  
-  #  Helper function 
+  #  Helper function
   format_percent <- function(x) {
     scales::percent_format(accuracy = 0.1)(x)
   }
-  
   result_data <- reactiveVal(NULL)
   poly_items  <- reactiveValues(
     pred_results      = NULL,
     pred_results_long = NULL,
     id_order          = NULL
   )
-  
-  #  Run estimation 
+  #  Run estimation
   observeEvent(input$run, {
     req(input$reference_file, input$ref_ids_file, input$validation_file)
     output$status <- renderText("Running estimation...")
-    
     tryCatch({
       reference <- utils::read.table(input$reference_file$datapath, header = TRUE, sep = "\t")
       reference <- dplyr::distinct(reference, ID, .keep_all = TRUE)
       reference <- tibble::column_to_rownames(reference, "ID")
-      
       reference_ids <- utils::read.table(input$ref_ids_file$datapath, header = TRUE, sep = "\t")
       ref_ids       <- lapply(as.list(reference_ids), as.character)
-      
       validation_raw <- utils::read.table(input$validation_file$datapath, header = TRUE, sep = "\t")
-      
-      # NA filtering: validation samples (rows) with < 50% call rate
-      sample_call_rate <- rowSums(!is.na(validation_raw)) / ncol(validation_raw)
-      removed_samples  <- validation_raw$ID[sample_call_rate < 0.5]
+      # NA filtering: validation samples (rows) with < 50% marker call rate
+      validation_markers  <- validation_raw[, colnames(validation_raw) != "ID", drop = FALSE]
+      sample_call_rate    <- rowSums(!is.na(validation_markers)) / ncol(validation_markers)
+      removed_samples     <- validation_raw$ID[sample_call_rate < 0.5]
       validation_filtered <- validation_raw[sample_call_rate >= 0.5, , drop = FALSE]
-      
       # NA filtering: validation markers (columns) with all NA
       col_call_counts <- colSums(!is.na(validation_filtered))
       removed_markers <- colnames(validation_filtered)[col_call_counts == 0]
       validation      <- validation_filtered[, col_call_counts > 0, drop = FALSE]
-      
       # Build warning messages
       warning_messages <- c()
       if (length(removed_samples) > 0) {
@@ -275,7 +258,6 @@ mod_polybreedtools_server <- function(input, output, session, parent_session) {
           paste0("  \u2022 ", removed_markers, collapse = "\n")
         ))
       }
-      
       # Duplicated IDs in validation file
       val_ids <- validation[, 1]
       dup_val <- val_ids[duplicated(val_ids)]
@@ -288,12 +270,9 @@ mod_polybreedtools_server <- function(input, output, session, parent_session) {
         output$status <- renderText(dup_val_msg)
         return()
       }
-      
       validation <- dplyr::distinct(validation, ID, .keep_all = TRUE)
       validation <- tibble::column_to_rownames(validation, "ID")
-      
       freq <- BIGr:::allele_freq_poly(reference, ref_ids, ploidy = input$ploidy)
-      
       # Error on NaN in freq
       na_pos <- which(is.na(freq), arr.ind = TRUE)
       if (nrow(na_pos) > 0) {
@@ -312,32 +291,25 @@ mod_polybreedtools_server <- function(input, output, session, parent_session) {
         output$status <- renderText(NaN_freq_msg)
         return()
       }
-      
       prediction <- BIGr:::solve_composition_poly(validation, freq, ploidy = input$ploidy)
       prediction <- as.data.frame(prediction, check.names = FALSE)
       prediction <- prediction[, !colnames(prediction) %in% c("R2"), drop = FALSE]
       prediction[] <- lapply(prediction, as.numeric)
-      
       columns_to_select <- colnames(prediction)
       predicted_line    <- columns_to_select[max.col(prediction[, columns_to_select, drop = FALSE], ties.method = "first")]
-      
       pred_results <- tibble::rownames_to_column(prediction, var = "ID")
       pred_results <- dplyr::mutate(pred_results, `Predicted line` = predicted_line)
       pred_results <- dplyr::mutate(pred_results, dplyr::across(dplyr::all_of(columns_to_select), ~format_percent(.x)))
-      
       result_data(pred_results)
-      
       id_order <- data.frame(
         ID              = rownames(prediction),
         predicted_line  = predicted_line,
         predicted_value = apply(prediction[, columns_to_select, drop = FALSE], 1, max, na.rm = TRUE),
         stringsAsFactors = FALSE
       )
-      
       output$preview <- DT::renderDT({
         DT::datatable(pred_results, options = list(pageLength = 10, scrollX = TRUE))
       })
-      
       pred_results_long <- tibble::rownames_to_column(prediction, var = "ID")
       pred_results_long <- tidyr::pivot_longer(
         pred_results_long,
@@ -346,47 +318,42 @@ mod_polybreedtools_server <- function(input, output, session, parent_session) {
         values_to = "percent"
       )
       pred_results_long$predicted_line <- id_order$predicted_line[match(pred_results_long$ID, id_order$ID)]
-      
       poly_items$pred_results      <- pred_results
       poly_items$pred_results_long <- pred_results_long
       poly_items$id_order          <- id_order
-      
       final_status <- "Estimation complete. File ready for download."
       if (length(warning_messages) > 0) {
         final_status <- paste(final_status, "\n\n", paste(warning_messages, collapse = "\n\n"))
       }
       output$status <- renderText(final_status)
-      
     }, error = function(e) {
       output$status <- renderText(paste("Error during estimation:", e$message))
     })
   })
-  
-  #  Ancestry plot 
+  #  Ancestry plot
+  #  Ancestry plot
   ancestry_plot <- reactive({
     req(poly_items$pred_results_long, poly_items$id_order)
-    
     dat <- poly_items$pred_results_long
-    
     if (isTRUE(input$poly_sort_by_predicted)) {
       ord    <- poly_items$id_order[order(poly_items$id_order$predicted_line, -poly_items$id_order$predicted_value), , drop = FALSE]
       dat$ID <- factor(dat$ID, levels = ord$ID)
     } else {
       dat$ID <- factor(dat$ID, levels = unique(dat$ID))
     }
-    
     p <- ggplot(dat, aes(x = ID, y = percent, fill = category)) +
       geom_bar(stat = "identity") +
       scale_fill_brewer(palette = input$color_choice) +
       scale_y_continuous(labels = scales::percent_format(accuracy = 1)) +
       labs(x = "Individual ID", y = "Ancestry Proportion", fill = "Line") +
-      theme_minimal()
-    
-    if (isTRUE(input$poly_show_sample_labels)) {
-      p <- p + theme(
-        axis.text.x = element_text(angle = 45, hjust = 1, size = as.numeric(input$poly_label_size %||% 8))
+      theme_minimal() +
+      theme(
+        axis.text.x = element_text(
+          angle = 45, hjust = 1,
+          size  = as.numeric(input$poly_label_size %||% 8)
+        )
       )
-    } else {
+    if (!isTRUE(input$poly_show_sample_labels)) {
       p <- p + theme(
         axis.text.x  = element_blank(),
         axis.ticks.x = element_blank()
@@ -394,13 +361,11 @@ mod_polybreedtools_server <- function(input, output, session, parent_session) {
     }
     p
   })
-  
   output$bar_plot <- renderPlot({
     req(poly_items$pred_results_long)
     ancestry_plot()
   })
-  
-  #  Downloads 
+  #  Downloads
   output$download_poly_file <- downloadHandler(
     filename = function() paste0("lineage_estimation_", format(Sys.Date(), "%Y-%m-%d"), ".xlsx"),
     content  = function(file) {
@@ -408,7 +373,6 @@ mod_polybreedtools_server <- function(input, output, session, parent_session) {
       openxlsx::write.xlsx(poly_items$pred_results, file = file, rowNames = FALSE)
     }
   )
-  
   output$download_poly_figure <- downloadHandler(
     filename = function() {
       ext <- input$poly_image_type %||% "png"
@@ -428,14 +392,12 @@ mod_polybreedtools_server <- function(input, output, session, parent_session) {
       }
     }
   )
-  
-  #  Example tables 
+  #  Example tables
   example_ids_df <- data.frame(
     Group1 = c("SampleAlpha", "S3", "ExampleFour", "", ""),
     Group2 = c("SampleOne", "SampleTwo", "SampleThree", "SampleFour", "SampleFive"),
     Group3 = c("SampleX", "SampleYy", "SampleZzzz", "ExampleEight", "")
   )
-  
   example_genos_df <- data.frame(
     ID      = paste0("Sample", c("1", "2", "3", "4", "5")),
     Marker1 = as.integer(c(0, 0, 1, 2, 1)),
@@ -443,23 +405,18 @@ mod_polybreedtools_server <- function(input, output, session, parent_session) {
     Marker3 = as.integer(c(0, 0, NA, 1, 1)),
     Marker4 = as.integer(c(0, 0, 0, 0, 0))
   )
-  
   output$example_ids   <- renderTable({ example_ids_df   }, bordered = TRUE)
   output$example_genos <- renderTable({ example_genos_df }, bordered = TRUE)
-  
   output$download_ids <- downloadHandler(
     filename = function() "sample_reference_ids.txt",
     content  = function(file) write.table(example_ids_df, file, sep = "\t", row.names = FALSE, quote = FALSE)
   )
-  
   output$download_genos <- downloadHandler(
     filename = function() "sample_genotypes.txt",
     content  = function(file) write.table(example_genos_df, file, sep = "\t", row.names = FALSE, quote = FALSE)
   )
 }
-
 ## To be copied in the UI
 # mod_polybreedtools_ui("polybreedtools_1")
-
 ## To be copied in the server
 # mod_polybreedtools_server("polybreedtools_1")
\ No newline at end of file

From d9d8ad89ac55f3f9a02c1d443b24a6940657a888 Mon Sep 17 00:00:00 2001
From: Josue Chinchilla-Vargas <josue.chinchilla@ufl.edu>
Date: Mon, 18 May 2026 08:22:23 -0400
Subject: [PATCH 08/26] update bs4Dash to shiny::updateTabsetPAnel

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---
 R/mod_ped_cleaner.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/mod_ped_cleaner.R b/R/mod_ped_cleaner.R
index 165569d..0e0fe76 100644
--- a/R/mod_ped_cleaner.R
+++ b/R/mod_ped_cleaner.R
@@ -236,7 +236,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
         )
         shinyjs::enable("download_results")          # ← un-namespaced; shinyjs handles it
         
-        bs4Dash::updateTabsetPanel(session, "ped_results_tabs", selected = "Summary")
+        shiny::updateTabsetPanel(session, "ped_results_tabs", selected = "Summary")
         
       }, error = function(e) {
         shinyWidgets::updateProgressBar(

From da027b002dbcbb1d1fad37990b5ae3a5288589ab Mon Sep 17 00:00:00 2001
From: Josue Chinchilla-Vargas <josue.chinchilla@ufl.edu>
Date: Mon, 18 May 2026 08:22:54 -0400
Subject: [PATCH 09/26] updated help section to match new button

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---
 R/help_polybreedtools.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/help_polybreedtools.R b/R/help_polybreedtools.R
index 6713329..d466620 100644
--- a/R/help_polybreedtools.R
+++ b/R/help_polybreedtools.R
@@ -258,7 +258,7 @@ help_content_polybreedtools <- function(collapse_fn = NULL, id_prefix = "") {
     shiny::tags$ul(
       style = "font-size: 13px;",
       shiny::tags$li(shiny::HTML(
-        "<strong>Results Table</strong> — downloadable as <code>.xlsx</code> via <em>Save Files</em>.
+        "<strong>Results Table</strong> — downloadable as <code>.xlsx</code> via <em>Save Excel File</em>.
          Contains each validation sample's estimated ancestry proportion per group and its predicted line."
       )),
       shiny::tags$li(shiny::HTML(

From 56e0b7da43b9a0f89f5d794845f08c3a330b5e5c Mon Sep 17 00:00:00 2001
From: Josue Chinchilla-Vargas <josue.chinchilla@ufl.edu>
Date: Mon, 18 May 2026 08:24:59 -0400
Subject: [PATCH 10/26] Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---
 R/mod_polybreedtools.R | 10 +++++++---
 1 file changed, 7 insertions(+), 3 deletions(-)

diff --git a/R/mod_polybreedtools.R b/R/mod_polybreedtools.R
index 6067fcf..be8ae02 100644
--- a/R/mod_polybreedtools.R
+++ b/R/mod_polybreedtools.R
@@ -240,10 +240,14 @@ mod_polybreedtools_server <- function(input, output, session, parent_session) {
       sample_call_rate    <- rowSums(!is.na(validation_markers)) / ncol(validation_markers)
       removed_samples     <- validation_raw$ID[sample_call_rate < 0.5]
       validation_filtered <- validation_raw[sample_call_rate >= 0.5, , drop = FALSE]
+      if (nrow(validation_filtered) == 0) {
+        stop("No validation samples remain after filtering for genotyping rate >= 50%.")
+      }
       # NA filtering: validation markers (columns) with all NA
-      col_call_counts <- colSums(!is.na(validation_filtered))
-      removed_markers <- colnames(validation_filtered)[col_call_counts == 0]
-      validation      <- validation_filtered[, col_call_counts > 0, drop = FALSE]
+      validation_marker_filtered <- validation_filtered[, colnames(validation_filtered) != "ID", drop = FALSE]
+      col_call_counts <- colSums(!is.na(validation_marker_filtered))
+      removed_markers <- colnames(validation_marker_filtered)[col_call_counts == 0]
+      validation      <- validation_filtered[, c(TRUE, col_call_counts > 0), drop = FALSE]
       # Build warning messages
       warning_messages <- c()
       if (length(removed_samples) > 0) {

From d0626ac2005c488273c62530970e637708f36245 Mon Sep 17 00:00:00 2001
From: Josue Chinchilla-Vargas <josue.chinchilla@ufl.edu>
Date: Mon, 18 May 2026 08:30:08 -0400
Subject: [PATCH 11/26] Delete .Rhistory

---
 .Rhistory | 512 ------------------------------------------------------
 1 file changed, 512 deletions(-)
 delete mode 100644 .Rhistory

diff --git a/.Rhistory b/.Rhistory
deleted file mode 100644
index 9d16f85..0000000
--- a/.Rhistory
+++ /dev/null
@@ -1,512 +0,0 @@
-title =  "PCA for Trachycarpus Species",
-x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
-y = paste0("PC3 (", round(variance_explained[3], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 2: PC1 vs PC3 ----
-ggplot(pca_df, aes(x = PC1, y = PC3, color = Species)) +
-geom_point(size = 2) +
-stat_ellipse(aes(group = Species), level = 0.95) +
-theme_minimal() +
-labs(
-title =  "PCA for Trachycarpus Species",
-x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
-y = paste0("PC3 (", round(variance_explained[3], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 3: PC2 vs PC3 ----
-ggplot(pca_df, aes(x = PC2, y = PC3, color = Species)) +
-geom_point(size = 3) +
-stat_ellipse(aes(group = Species), level = 0.95) +
-theme_minimal() +
-labs(
-title =  "PCA for Trachycarpus Species",
-x = paste0("PC2 (", round(variance_explained[2], 1), "%)"),
-y = paste0("PC3 (", round(variance_explained[3], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 1: PC1 vs PC2 ----
-ggplot(pca_df, aes(x = PC1, y = PC2, color = Species)) +
-geom_point(size = 3) +
-stat_ellipse(aes(group = Species), level = 0.95) +
-theme_minimal() +
-labs(
-title =  "PCA for Trachycarpus Species",
-x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
-y = paste0("PC2 (", round(variance_explained[2], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 1: PC1 vs PC2 ----
-ggplot(pca_df, aes(x = PC1, y = PC2, color = Species)) +
-geom_point(size = 3) +
-stat_ellipse(aes(group = Species), level = 0.99) +
-theme_minimal() +
-labs(
-title =  "PCA for Trachycarpus Species",
-x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
-y = paste0("PC2 (", round(variance_explained[2], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 1: PC1 vs PC2 ----
-ggplot(pca_df, aes(x = PC1, y = PC2, color = Species)) +
-geom_point(size = 3) +
-stat_ellipse(aes(group = Species), level = 0.90) +
-theme_minimal() +
-labs(
-title =  "PCA for Trachycarpus Species",
-x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
-y = paste0("PC2 (", round(variance_explained[2], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 1: PC1 vs PC2 ----
-ggplot(pca_df, aes(x = PC1, y = PC2, color = Species)) +
-geom_point(size = 1) +
-#stat_ellipse(aes(group = Species), level = 0.90) +
-theme_minimal() +
-labs(
-title =  "PCA for Trachycarpus Species",
-x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
-y = paste0("PC2 (", round(variance_explained[2], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 1: PC1 vs PC2 ----
-ggplot(pca_df, aes(x = PC1, y = PC2, color = Species)) +
-geom_point(size = 1.5) +
-#stat_ellipse(aes(group = Species), level = 0.90) +
-theme_minimal() +
-labs(
-title =  "PCA for Trachycarpus Species",
-x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
-y = paste0("PC2 (", round(variance_explained[2], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 1: PC1 vs PC2 ----
-ggplot(pca_df, aes(x = PC1, y = PC2, color = Species)) +
-geom_point(size = 1.5) +
-#stat_ellipse(aes(group = Species), level = 0.90) +
-# theme_minimal() +
-labs(
-title =  "PCA for Trachycarpus Species",
-x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
-y = paste0("PC2 (", round(variance_explained[2], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 1: PC1 vs PC2 ----
-ggplot(pca_df, aes(x = PC1, y = PC2, color = Species)) +
-geom_point(size = 1.5) +
-#stat_ellipse(aes(group = Species), level = 0.90) +
-theme_minimal() +
-labs(
-title =  "PCA for Trachycarpus Species",
-x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
-y = paste0("PC2 (", round(variance_explained[2], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 1: PC1 vs PC2 ----
-ggplot(pca_df, aes(x = PC1, y = PC2, color = Species)) +
-geom_point(size = 1.5) +
-#stat_ellipse(aes(group = Species), level = 0.95) +
-theme_minimal() +
-labs(
-title =  "PCA for Trachycarpus Species",
-x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
-y = paste0("PC2 (", round(variance_explained[2], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 1: PC1 vs PC2 ----
-ggplot(pca_df, aes(x = PC1, y = PC2, color = Species)) +
-geom_point(size = 1.5) +
-stat_ellipse(aes(group = Species), level = 0.95) +
-theme_minimal() +
-labs(
-title =  "PCA for Trachycarpus Species",
-x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
-y = paste0("PC2 (", round(variance_explained[2], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 1: PC1 vs PC2 ----
-ggplot(pca_df, aes(x = PC1, y = PC2, color = Species)) +
-geom_point(size = 1.5) +
-stat_ellipse(aes(group = Species), level = 0.99) +
-theme_minimal() +
-labs(
-title =  "PCA for Trachycarpus Species",
-x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
-y = paste0("PC2 (", round(variance_explained[2], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 1: PC1 vs PC2 ----
-ggplot(pca_df, aes(x = PC1, y = PC2, color = Species)) +
-geom_point(size = 1.5) +
-stat_ellipse(aes(group = Species), level = 0.95) +
-theme_minimal() +
-labs(
-title =  "PCA for Trachycarpus Species",
-x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
-y = paste0("PC2 (", round(variance_explained[2], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 1: PC1 vs PC2 ----
-ggplot(pca_df, aes(x = PC1, y = PC2, color = Species)) +
-geom_point(size = 1.5) +
-stat_ellipse(aes(group = Species), level = 0.95) +
-theme_minimal() +
-labs(
-title =  "PCA for Trachycarpus Species",
-x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
-y = paste0("PC2 (", round(variance_explained[2], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 2: PC1 vs PC3 ----
-ggplot(pca_df, aes(x = PC1, y = PC3, color = Species)) +
-geom_point(size = 1.5) +
-stat_ellipse(aes(group = Species), level = 0.95) +
-theme_minimal() +
-labs(
-title =  "PCA for Trachycarpus Species",
-x = paste0("PC1 (", round(variance_explained[1], 1), "%)"),
-y = paste0("PC3 (", round(variance_explained[3], 1), "%)")
-) +
-theme(legend.position = "right")
-# ---- Plot 3: PC2 vs PC3 ----
-ggplot(pca_df, aes(x = PC2, y = PC3, color = Species)) +
-geom_point(size = 1.5) +
-stat_ellipse(aes(group = Species), level = 0.95) +
-theme_minimal() +
-labs(
-title =  "PCA for Trachycarpus Species",
-x = paste0("PC2 (", round(variance_explained[2], 1), "%)"),
-y = paste0("PC3 (", round(variance_explained[3], 1), "%)")
-) +
-theme(legend.position = "right")
-shiny::runApp('app')
-runApp('app')
-shiny::runApp('app')
-shiny::runApp('app')
-runApp('app')
-install.packages("golem")
-golem::create_golem("/example")
-golem::create_golem("/stuff")
-shiny::runApp()
-runApp()
-devtools::document()
-runApp()
-devtools::document()
-devtools::document()
-devtools::document()
-devtools::document()
-runApp()
-shiny::runApp()
-devtools::document()
-shiny::runApp()
-shiny::runApp()
-runApp()
-runApp()
-devtools::document()
-runApp()
-devtools::document()
-runApp()
-runApp()
-devtools::document()
-runApp()
-devtools::document()
-runApp()
-devtools::document()
-runApp()
-devtools::document()
-runApp()
-devtools::document()
-runApp()
-devtools::document()
-runApp()
-devtools::document()
-runApp()
-devtools::document()
-runApp()
-shiny::runApp()
-runApp()
-runApp()
-runApp()
-runApp()
-runApp()
-runApp()
-runApp()
-#### test function ####
-find_parentage(genotypes_file = "genotypes.txt",
-parents_file = "parents.txt",
-progeny_file = "progeny.txt",
-method = "best_pair",
-write_txt = T,
-show_ties = T)
-results <- validate_pedigree(
-pedigree_file = test_data$files$pedigree,
-genotypes_file = test_data$files$genotypes,
-trio_error_threshold = 5.0,
-min_markers = 100,
-single_parent_error_threshold = 2.0,
-fill_pedigree = T,
-verbose = F,
-write_txt = F,output_filename = corrected_pedigree_filled)
-runApp()
-runApp()
-familia::run_app()
-familia::run_app()
-familia::run_app()
-familia::run_app()
-familia::run_app()
-familia::run_app()
-familia::run_app()
-familia::run_app()
-familia::run_app()
-familia::run_app()
-familia::run_app()
-familia::run_app()
-familia::run_app()
-tagList(
-# Leave this function for adding external resources
-golem_add_external_resources(),
-# Dynamic sidebar color theme — only sets the :root CSS variables
-# ── Sidebar color theme ──────────────────────────────────────────────────────
-# Change this value to switch the active sidebar menu item color.
-# Available options: "azure", "green", "yellow", "grey", "purple", "red"
-# ─────────────────────────────────────────────────────────────────────────────
-tags$head(tags$style(HTML(sprintf(
-":root { --sidebar-core: var(--%s-core); --sidebar-lite: var(--%s-lite); --sidebar-deep: var(--%s-deep); }",
-"red", "red", "red"
-)))),
-bs4DashPage(
-skin = "black",
-bs4DashNavbar(
-title = tagList(
-tags$img(src = 'www/familia_logo.png', height = '40', width = '50'),
-),
-rightUi = tags$li(
-class = "dropdown",
-tags$a(
-href = "#",
-class = "nav-link",
-`data-toggle` = "dropdown",
-icon("info-circle")
-),
-tags$div(
-class = "dropdown-menu dropdown-menu-right",
-tags$a(
-class = "dropdown-item",
-href = "#",
-"Session Info",
-onclick = "Shiny.setInputValue('session_info_button', Math.random())"
-),
-tags$a(
-class = "dropdown-item",
-href = "#",
-"Check for Updates",
-onclick = "Shiny.setInputValue('updates_info_button', Math.random())"
-)
-)
-)
-),
-help = NULL, #This is the default bs4Dash button to control the presence of tooltips and popovers, which can be added as a user help/info feature.
-bs4DashSidebar(
-skin="light",
-status = "warning",
-fixed=TRUE,
-#minified = F,
-expandOnHover = TRUE,
-sidebarMenu(id = "MainMenu",
-flat = T,
-tags$li(class = "header", style = "color: grey; margin-top: 10px; margin-bottom: 10px; padding-left: 15px;", "Menu"),
-menuItem("Home", tabName = "welcome", icon = icon("house"),startExpanded = FALSE),
-menuItem("Genetic Composition", icon = icon("chart-pie"), startExpanded = TRUE,
-menuSubItem("SNMF", tabName = "snmf", icon = icon("list-ol")),
-menuSubItem(HTML("BreedTools<sup>poly</sup>"), tabName = "polybreedtools", icon = icon("chart-bar"))
-),
-menuItem("Parentage Testing", icon = icon("diagram-project"), startExpanded = TRUE,
-menuSubItem("Find Parents", tabName = "parentage", icon = icon("circle-nodes")),
-menuSubItem("Clean Pedigree", tabName = "validate_pedigree", icon = icon("broom")),
-menuSubItem("Validate Pedigree", tabName = "validate_pedigree", icon = icon("sitemap"))
-),
-tags$li(class = "header", style = "color: grey; margin-top: 18px; margin-bottom: 10px; padding-left: 15px;", "Information"),
-menuItem("Source Code", icon = icon("circle-info"), href = "https://www.github.com/Breeding-Insight/Genomics_Shiny_App"),
-#menuItem(
-#  span("Job Queue", bs4Badge("demo", position = "right", color = "warning")),
-#  tabName = "slurm",
-#  icon = icon("clock")),
-menuItem("Help", tabName = "help", icon = icon("circle-question"))
-)
-),
-footer = dashboardFooter(
-right = div(
-style = "display: flex; align-items: center;",  # Align text and images horizontally
-div(
-style = "display: flex; flex-direction: column; margin-right: 15px; text-align: right;",
-div("2026 Breeding Insight"),
-div("Funded by USDA through (UF|IFAS)")
-),
-div(
-a(
-img(src = "www/usda-logo-color.png", height = "45px"),
-style = "margin-right: 15px;"
-),
-a(
-img(src = "www/cornell_seal_simple_web_b31b1b.png", height = "45px")
-)
-)
-),
-left = div(
-style = "display: flex; align-items: center; height: 100%;",
-sprintf("v%s", as.character(utils::packageVersion("familia")))
-)
-),
-dashboardBody(
-disconnectMessage(), #Adds generic error message for any error if not already accounted for
-tags$style(
-HTML(
-".main-footer {
-background-color: white;
-color: grey;
-height: 65px;
-padding-top: 5px;
-padding-bottom: 5px;
-}
-.main-footer a {
-color: grey;
-}"
-)
-),
-tabItems(
-tabItem(
-tabName = "welcome", mod_Home_ui("Home_1")
-),
-tabItem(
-tabName = "polybreedtools", mod_polybreedtools_ui("PolyBreedTools_1")
-),
-tabItem(
-tabName = "snmf", mod_SNMF_ui("SNMF_1")
-),
-tabItem(
-tabName = "parentage", mod_parentage_ui("parentage_1")
-),
-tabItem(
-tabName = "validate_pedigree", mod_validate_pedigree_ui("validate_pedigree_1")
-),
-tabItem(
-tabName = "help", mod_help_ui("help_1")
-)
-)
-)
-)
-)
-familia::run_app()
-familia::run_app()
-familia::run_app()
-familia::run_app()
-familia::run_app()
-familia::run_app()
-familia::run_app()
-familia::run_app()
-devtools::load_all()
-familia::run_app()
-run_app()
-roxygen2::roxygenize()
-devtools::load_all()
-run_app()
-devtools::load_all()
-run_app()
-run_app()
-devtools::load_all()
-run_app()
-devtools::load_all()
-devtools::load_all()
-run_app()
-roxygen2::roxygenize()
-devtools::load_all()
-run_app()
-devtools::load_all()
-run_app()
-run_app()
-devtools::load_all()
-run_app()
-run_app()
-devtools::load_all()
-run_app()
-run_app()
-devtools::load_all()
-run_app()
-devtools::load_all()
-run_app()
-devtools::load_all()
-run_app()
-devtools::load_all()
-run_app()
-run_app()
-devtools::load_all()
-run_app()
-run_app()
-devtools::load_all()
-run_app()
-run_app()
-devtools::load_all()
-run_app()
-devtools::load_all()
-run_app()
-run_app()
-devtools::load_all()
-run_app()
-run_app()
-devtools::load_all()
-run_app()
-run_app()
-devtools::load_all()
-run_app()
-devtools::load_all()
-run_app()
-run_app()
-run_app()
-devtools::load_all()
-run_app()
-devtools::load_all()
-devtools::load_all()
-run_app()
-run_app()
-devtools::load_all()
-run_app()
-run_app()
-devtools::load_all()
-run_app()
-run_app()
-devtools::load_all()
-run_app()
-run_app()
-run_app()
-devtools::load_all()
-run_app()
-devtools::load_all()
-run_app()
-devtools::load_all()
-run_app()
-devtools::load_all()
-run_app()
-run_app()
-devtools::load_all()
-run_app()
-anole_vcf <-
-read.vcfR(
-"https://github.com/ivanprates/2018_Anolis_EcolEvol/blob/master/data/VCFtools_SNMF_punctatus_t70_s10_n46/punctatus_t70_s10_n46_filtered.recode.vcf?raw=true"
-)
-anole_vcf <-
-vcfR::read.vcfR(
-"https://github.com/ivanprates/2018_Anolis_EcolEvol/blob/master/data/VCFtools_SNMF_punctatus_t70_s10_n46/punctatus_t70_s10_n46_filtered.recode.vcf?raw=true"
-)
-View(anole_vcf)
-vcfR::write.vcf(anole_vcf, "SNMF_test.vcf")
-roxygen2::roxygenise()
-devtools::document()
-run_app()
-install.packages("LEA")
-install.packages("remotes")          # if you haven’t
-remotes::install_github("bioPop/LEA")
-if (!requireNamespace("BiocManager", quietly = TRUE))
-install.packages("BiocManager")
-BiocManager::install("LEA")
-devtools::load_all()
-run_app()

From 37ec982cfcf91fe0bfae8bd758011e87ba262a77 Mon Sep 17 00:00:00 2001
From: "josue.chinchilla" <josue.chinchilla@IFASadmins-MacBook-Pro.local>
Date: Mon, 18 May 2026 08:30:46 -0400
Subject: [PATCH 12/26] fixed wording

---
 R/mod_ped_cleaner.R | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/R/mod_ped_cleaner.R b/R/mod_ped_cleaner.R
index 0e0fe76..d93cdda 100644
--- a/R/mod_ped_cleaner.R
+++ b/R/mod_ped_cleaner.R
@@ -74,8 +74,8 @@ mod_ped_cleaner_ui <- function(id) {
                   <ul>
                     <li>Upload a tab-separated <code>.txt</code>, <code>.tsv</code>, or <code>.csv</code> pedigree file.</li>
                     <li>Required columns: <code>id</code>, <code>male_parent</code>, <code>female_parent</code>.</li>
-                    <li>Click <strong>Run Pedigree Check</strong> to detect and fix issues.</li>
-                    <li>Issues detected and corrected:</li>
+                    <li>Click <strong>Run Pedigree Check</strong> to detect issues.</li>
+                    <li>Issues detected:</li>
                     <ul>
                       <li><strong>Exact Duplicates</strong> — fully identical rows are removed.</li>
                       <li><strong>Conflicting IDs</strong> — same ID with different parents; ambiguous parent set to 0.</li>
@@ -264,7 +264,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
       border_color <- if (total == 0) "#c3e6cb" else "#ffeeba"
       text_color   <- if (total == 0) "#155724"  else "#856404"
       headline     <- if (total == 0) "No issues found. Pedigree looks clean!" else
-        paste0(total, " issue(s) detected and corrected. Review the Issue Tables tab.")
+        paste0(total, " issue(s) detected. Review the Issue Tables tab.")
       
       shiny::HTML(paste0(
         "<div style='background-color:", banner_color, "; border: 1px solid ", border_color,

From f02b4fca5d55151a700a1c212a065b52084e4189 Mon Sep 17 00:00:00 2001
From: "josue.chinchilla" <josue.chinchilla@IFASadmins-MacBook-Pro.local>
Date: Mon, 18 May 2026 09:24:39 -0400
Subject: [PATCH 13/26] removed buttons that are not needed from snmf

---
 R/mod_SNMF.R | 194 ++++++++++++++++++++++++---------------------------
 1 file changed, 92 insertions(+), 102 deletions(-)

diff --git a/R/mod_SNMF.R b/R/mod_SNMF.R
index 8e838f0..2a41bc3 100644
--- a/R/mod_SNMF.R
+++ b/R/mod_SNMF.R
@@ -73,8 +73,8 @@ mod_SNMF_ui <- function(id) {
               style = "background-color: #FFD700; color: #000000; border:none; padding: 8px 16px; border-radius: 5px;"
             )
           )
-        )  # closes box
-      ),  # closes column(width = 3)
+        )
+      ),
       #  Column 2: Results
       shiny::column(
         width = 6,
@@ -122,8 +122,8 @@ mod_SNMF_ui <- function(id) {
               style = "overflow-y: auto; height: 500px"
             )
           )
-        )  # closes box
-      ),  # closes column(width = 6)
+        )
+      ),
       #  Column 3: Status + Plot Controls
       shiny::column(
         width = 3,
@@ -143,58 +143,57 @@ mod_SNMF_ui <- function(id) {
             title       = " "
           )
         ),
-        box(
+        bs4Dash::box(
           title       = "Plot Controls",
           width       = 12,
           status      = "warning",
           solidHeader = TRUE,
           collapsible = TRUE,
           shiny::uiOutput(ns("snmf_selectors_ui")),
-          # ── Palette and label controls (mirrored from PolyBreedTools) ──────
-          selectInput(ns("snmf_color_choice"), "Color Palette",
-                      choices = list(
-                        "Standard Palettes"   = c("Set1","Set3","Pastel2","Pastel1","Accent","Spectral","RdYlGn","RdGy"),
-                        "Colorblind Friendly" = c("Set2","Paired","Dark2","YlOrRd","YlOrBr","YlGnBu","YlGn",
-                                                  "Reds","RdPu","Purples","PuRd","PuBuGn","PuBu","OrRd",
-                                                  "Oranges","Greys","Greens","GnBu","BuPu","BuGn","Blues",
-                                                  "RdYlBu","RdBu","PuOr","PRGn","PiYG","BrBG")
-                      ),
-                      selected = "Set1"),
-          checkboxInput(ns("snmf_show_sample_labels"), "Show sample labels", value = TRUE),
-          sliderInput(ns("snmf_label_size"), "Label size", min = 6, max = 14, value = 8, step = 1),
-          div(
+          shiny::selectInput(
+            ns("snmf_color_choice"), "Color Palette",
+            choices = list(
+              "Standard Palettes"   = c("Set1","Set3","Pastel2","Pastel1","Accent","Spectral","RdYlGn","RdGy"),
+              "Colorblind Friendly" = c("Set2","Paired","Dark2","YlOrRd","YlOrBr","YlGnBu","YlGn",
+                                        "Reds","RdPu","Purples","PuRd","PuBuGn","PuBu","OrRd",
+                                        "Oranges","Greys","Greens","GnBu","BuPu","BuGn","Blues",
+                                        "RdYlBu","RdBu","PuOr","PRGn","PiYG","BrBG")
+            ),
+            selected = "Set1"
+          ),
+          shiny::checkboxInput(ns("snmf_show_sample_labels"), "Show sample labels", value = TRUE),
+          shiny::sliderInput(ns("snmf_label_size"), "Label size", min = 6, max = 14, value = 8, step = 1),
+          shiny::div(
             style = "display:inline-block; float:left",
-            dropdownButton(
-              tags$h3("Save Image"),
-              selectInput(ns("snmf_figure"),     "Figure",    choices  = c("Cross-Entropy Plot", "Ancestry Plot")),
-              selectInput(ns("snmf_image_type"), "File Type", choices  = c("jpeg", "tiff", "png", "svg"), selected = "jpeg"),
-              sliderInput(ns("snmf_image_res"),    "Resolution", value = 300, min = 50,  max = 1000, step = 50),
-              sliderInput(ns("snmf_image_width"),  "Width",      value = 8,   min = 1,   max = 20,   step = 0.5),
-              sliderInput(ns("snmf_image_height"), "Height",     value = 5,   min = 1,   max = 20,   step = 0.5),
-              fluidRow(
-                downloadButton(ns("download_snmf_figure"), "Save Image"),
-                downloadButton(ns("download_snmf_file"),   "Save Files"),
-                downloadButton(ns("download_project_zip"), "Save Project")
-              ),
+            shinyWidgets::dropdownButton(
+              shiny::tags$h3("Save Image"),
+              shiny::selectInput(ns("snmf_figure"),     "Figure",    choices = c("Cross-Entropy Plot", "Ancestry Plot")),
+              shiny::selectInput(ns("snmf_image_type"), "File Type", choices = c("jpeg", "tiff", "png", "svg"), selected = "jpeg"),
+              shiny::sliderInput(ns("snmf_image_res"),    "Resolution", value = 300, min = 50,  max = 1000, step = 50),
+              shiny::sliderInput(ns("snmf_image_width"),  "Width",      value = 8,   min = 1,   max = 20,   step = 0.5),
+              shiny::sliderInput(ns("snmf_image_height"), "Height",     value = 5,   min = 1,   max = 20,   step = 0.5),
+              shiny::downloadButton(ns("download_snmf_figure"), "Save Image"),
               circle  = FALSE,
               status  = "danger",
-              icon    = icon("floppy-disk"),
+              icon    = shiny::icon("floppy-disk"),
               width   = "300px",
               label   = "Save",
-              tooltip = tooltipOptions(title = "Click to see inputs!")
+              tooltip = shinyWidgets::tooltipOptions(title = "Click to see inputs!")
             )
           )
-        )  # closes Plot Controls box
-      )   # closes column(width = 3)
-    )  # closes fluidRow
-  )    # closes tagList
+        )
+      )
+    )
+  )
 }
+
 #' SNMF Server Functions
 #'
 #' @noRd
 mod_SNMF_server <- function(input, output, session, parent_session) {
   ns <- session$ns
   `%||%` <- function(x, y) if (is.null(x)) y else x
+  
   make_collapse_panel <- function(panel_id, icon_name, label, body_content) {
     shiny::tags$div(
       class = "card mb-1",
@@ -223,6 +222,7 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       )
     )
   }
+  
   #  Help button
   shiny::observeEvent(input$help_btn, {
     shiny::showModal(
@@ -235,10 +235,12 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       )
     )
   })
+  
   set_status <- function(...) {
     msg <- paste0(...)
     output$snmf_status <- shiny::renderText(msg)
   }
+  
   show_error <- function(title, message) {
     shiny::showModal(shiny::modalDialog(
       title     = title,
@@ -247,24 +249,28 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       message
     ))
   }
+  
   call_with_allowed_named_args <- function(fun, args) {
     allowed <- names(formals(fun))
     if (is.null(allowed)) return(do.call(fun, args))
     keep <- names(args) == "" | names(args) %in% allowed
     do.call(fun, args[keep])
   }
+  
   same_path <- function(path_a, path_b) {
     identical(
       normalizePath(path_a, winslash = "/", mustWork = FALSE),
       normalizePath(path_b, winslash = "/", mustWork = FALSE)
     )
   }
+  
   copy_file_if_needed <- function(from, to, overwrite = TRUE) {
     if (same_path(from, to)) return(to)
     ok <- file.copy(from, to, overwrite = overwrite)
     if (!isTRUE(ok)) stop("Failed to copy file from ", from, " to ", to, call. = FALSE)
     to
   }
+  
   write_vcf_upload_as_geno <- function(vcf_path, geno_path) {
     vcf <- vcfR::read.vcfR(vcf_path, verbose = FALSE)
     gt  <- as.matrix(vcfR::extract.gt(vcf, element = "GT"))
@@ -281,14 +287,17 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
     LEA::write.geno(lea_mat, geno_path)
     list(geno_path = geno_path, sample_ids = colnames(gt))
   }
+  
   run_ctx <- new.env(parent = emptyenv())
   run_ctx$run_dir <- NULL
+  
   cleanup_run_dir <- function(path = run_ctx$run_dir) {
     if (!is.null(path) && dir.exists(path)) {
       unlink(path, recursive = TRUE, force = TRUE)
     }
     if (identical(run_ctx$run_dir, path)) run_ctx$run_dir <- NULL
   }
+  
   state <- shiny::reactiveValues(
     run_dir         = NULL,
     project         = NULL,
@@ -303,6 +312,7 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
     best_run_by_k   = NULL,
     sample_ids      = NULL
   )
+  
   #  Value boxes
   output$snmf_best_k_box <- bs4Dash::renderValueBox({
     bs4Dash::valueBox(
@@ -312,6 +322,7 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       color    = "info"
     )
   })
+  
   output$snmf_best_ce_box <- bs4Dash::renderValueBox({
     bs4Dash::valueBox(
       value = if (isTRUE(state$entropy_enabled) && !is.null(state$ce_summary)) {
@@ -326,6 +337,7 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       color    = "olive"
     )
   })
+  
   #  Selectors UI
   output$snmf_selectors_ui <- shiny::renderUI({
     if (is.null(state$project) || is.null(state$k_values) || is.null(state$repetitions)) {
@@ -346,7 +358,8 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       )
     )
   })
-  observeEvent(input$snmf_selected_k, {
+  
+  shiny::observeEvent(input$snmf_selected_k, {
     req(state$project, state$k_values, state$repetitions)
     k            <- as.integer(input$snmf_selected_k)
     selected_run <- 1L
@@ -359,18 +372,21 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       selected = as.character(selected_run)
     )
   }, ignoreInit = TRUE)
+  
   selected_k <- shiny::reactive({
     req(state$project, state$k_values)
     k <- input$snmf_selected_k
     if (is.null(k) || !nzchar(k)) return(as.integer(state$best_k %||% state$k_values[[1]]))
     as.integer(k)
   })
+  
   selected_run <- shiny::reactive({
     req(state$project, state$repetitions)
     r <- input$snmf_selected_run
     if (is.null(r) || !nzchar(r)) return(1L)
     as.integer(r)
   })
+  
   #  Q matrix reactive
   q_matrix <- shiny::reactive({
     req(state$project)
@@ -386,16 +402,18 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
     colnames(q) <- paste0("Cluster", seq_len(ncol(q)))
     q
   })
-  # ── Shared plot helpers (used by both render outputs and download handler) ──
+  
+  #  Shared plot reactives
   ce_plot <- shiny::reactive({
-    validate(shiny::need(isTRUE(state$entropy_enabled), "Cross-entropy disabled (see Selection mode)."))
-    validate(shiny::need(!is.null(state$ce_summary),    "Run SNMF to compute cross-entropy."))
-    ggplot(state$ce_summary, aes(x = K, y = min_cross_entropy)) +
-      geom_line() +
-      geom_point() +
-      labs(x = "K", y = "Minimum cross-entropy", title = "SNMF cross-entropy by K") +
-      theme_minimal()
+    shiny::validate(shiny::need(isTRUE(state$entropy_enabled), "Cross-entropy disabled (see Selection mode)."))
+    shiny::validate(shiny::need(!is.null(state$ce_summary),    "Run SNMF to compute cross-entropy."))
+    ggplot2::ggplot(state$ce_summary, ggplot2::aes(x = K, y = min_cross_entropy)) +
+      ggplot2::geom_line() +
+      ggplot2::geom_point() +
+      ggplot2::labs(x = "K", y = "Minimum cross-entropy", title = "SNMF cross-entropy by K") +
+      ggplot2::theme_minimal()
   })
+  
   ancestry_plot <- shiny::reactive({
     q      <- q_matrix()
     df     <- data.frame(ID = rownames(q), q, check.names = FALSE)
@@ -410,46 +428,46 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
     )
     long$ID      <- factor(long$ID,      levels = unique(df$ID))
     long$Cluster <- factor(long$Cluster, levels = q_cols)
-    p <- ggplot(long, ggplot2::aes(x = ID, y = Q, fill = Cluster)) +
-      geom_col(width = 0.9) +
-      scale_fill_brewer(palette = input$snmf_color_choice %||% "Set1") +
-      scale_y_continuous(labels = scales::percent_format(accuracy = 1)) +
-      labs(x = "Individual", y = "Ancestry proportion", fill = "Cluster") +
-      theme_minimal() +
-      theme(
-        axis.text.x        = element_text(
+    p <- ggplot2::ggplot(long, ggplot2::aes(x = ID, y = Q, fill = Cluster)) +
+      ggplot2::geom_col(width = 0.9) +
+      ggplot2::scale_fill_brewer(palette = input$snmf_color_choice %||% "Set1") +
+      ggplot2::scale_y_continuous(labels = scales::percent_format(accuracy = 1)) +
+      ggplot2::labs(x = "Individual", y = "Ancestry proportion", fill = "Cluster") +
+      ggplot2::theme_minimal() +
+      ggplot2::theme(
+        axis.text.x        = ggplot2::element_text(
           angle = 45, hjust = 1, vjust = 1,
           size  = as.numeric(input$snmf_label_size %||% 8)
         ),
-        panel.grid.major.x = element_blank()
+        panel.grid.major.x = ggplot2::element_blank()
       )
     if (!isTRUE(input$snmf_show_sample_labels)) {
-      p <- p + theme(
-        axis.text.x  = element_blank(),
-        axis.ticks.x = element_blank()
+      p <- p + ggplot2::theme(
+        axis.text.x  = ggplot2::element_blank(),
+        axis.ticks.x = ggplot2::element_blank()
       )
     }
     p
   })
-  #  Outputs
+  
+  #  Render outputs
   output$snmf_q_table <- DT::renderDT({
     q  <- q_matrix()
     df <- data.frame(ID = rownames(q), q, check.names = FALSE)
     DT::datatable(df, options = list(scrollX = TRUE, pageLength = 10))
   })
-  output$snmf_q_plot <- shiny::renderPlot({
-    ancestry_plot()
-  })
-  output$snmf_ce_plot <- shiny::renderPlot({
-    ce_plot()
-  })
+  
+  output$snmf_q_plot <- shiny::renderPlot({ ancestry_plot() })
+  output$snmf_ce_plot <- shiny::renderPlot({ ce_plot() })
+  
   output$snmf_ce_table <- DT::renderDT({
-    validate(shiny::need(isTRUE(state$entropy_enabled), "Cross-entropy disabled (see Selection mode)."))
-    validate(shiny::need(!is.null(state$ce_summary),    "Run SNMF to compute cross-entropy."))
+    shiny::validate(shiny::need(isTRUE(state$entropy_enabled), "Cross-entropy disabled (see Selection mode)."))
+    shiny::validate(shiny::need(!is.null(state$ce_summary),    "Run SNMF to compute cross-entropy."))
     DT::datatable(state$ce_summary, options = list(pageLength = 10, scrollX = TRUE))
   })
+  
   #  Run SNMF
-  observeEvent(input$snmf_run, {
+  shiny::observeEvent(input$snmf_run, {
     if (!requireNamespace("LEA", quietly = TRUE)) {
       show_error("Missing dependency", "Install the LEA package to use SNMF.")
       return()
@@ -497,7 +515,6 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
     file_base     <- sub("\\.(vcf\\.gz|vcf|geno|gz)$", "", basename(uploaded_name), ignore.case = TRUE)
     geno_path     <- file.path(state$run_dir, paste0(file_base, ".geno"))
     uploaded_path <- input$snmf_file$datapath
-    # Convert input to .geno if needed
     if (grepl("\\.geno$", ext_lower)) {
       copy_file_if_needed(uploaded_path, geno_path, overwrite = TRUE)
     } else if (grepl("\\.vcf\\.gz$|\\.vcf$|\\.gz$", ext_lower)) {
@@ -606,7 +623,6 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
     } else {
       state$best_k <- state$k_values[[1]]
     }
-    # Initialize selectors
     shiny::updateSelectInput(
       session, "snmf_selected_k",
       choices  = as.character(state$k_values),
@@ -625,6 +641,7 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
     shinyWidgets::updateProgressBar(session = session, id = "pb_snmf", value = 100, title = "Complete!")
     set_status("SNMF complete.\n")
   })
+  
   #  Downloads
   output$download_q_csv <- shiny::downloadHandler(
     filename = function() paste0("snmf_Q_K", selected_k(), "_run", selected_run(), "_", Sys.Date(), ".csv"),
@@ -635,44 +652,16 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       utils::write.csv(df, file, row.names = FALSE)
     }
   )
+  
   output$download_ce_csv <- shiny::downloadHandler(
     filename = function() paste0("snmf_cross_entropy_", Sys.Date(), ".csv"),
     content  = function(file) {
       req(state$project)
-      validate(shiny::need(isTRUE(state$entropy_enabled), "Cross-entropy disabled (see Selection mode)."))
+      shiny::validate(shiny::need(isTRUE(state$entropy_enabled), "Cross-entropy disabled (see Selection mode)."))
       utils::write.csv(state$ce_df %||% data.frame(), file, row.names = FALSE)
     }
   )
-  output$download_project_zip <- shiny::downloadHandler(
-    filename = function() paste0("snmf_project_", Sys.Date(), ".zip"),
-    content  = function(file) {
-      req(state$project)
-      export_try <- function(args) {
-        tryCatch(call_with_allowed_named_args(LEA::export.snmfProject, args), error = function(e) e)
-      }
-      res <- export_try(list(state$project, file = file))
-      if (file.exists(file)) return()
-      res2 <- export_try(list(state$project))
-      if (is.character(res2) && length(res2) >= 1) {
-        if (file.exists(res2[[1]])) { file.copy(res2[[1]], file, overwrite = TRUE); return() }
-        if (dir.exists(res2[[1]])) {
-          all_paths <- list.files(res2[[1]], full.names = TRUE, recursive = TRUE)
-          all_paths <- all_paths[file.info(all_paths)$isdir %in% FALSE]
-          utils::zip(zipfile = file, files = all_paths)
-          return()
-        }
-      }
-      zips <- list.files(state$run_dir, pattern = "\\.zip$", full.names = TRUE)
-      if (length(zips) >= 1) {
-        newest <- zips[which.max(file.info(zips)$mtime)]
-        file.copy(newest, file, overwrite = TRUE)
-        return()
-      }
-      if (inherits(res,  "error")) stop(res$message)
-      if (inherits(res2, "error")) stop(res2$message)
-      stop("export.snmfProject() did not produce a zip file.")
-    }
-  )
+  
   output$download_snmf_figure <- shiny::downloadHandler(
     filename = function() {
       ext <- input$snmf_image_type %||% "jpeg"
@@ -687,7 +676,6 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       height <- as.numeric(input$snmf_image_height %||% 5)
       dpi    <- as.numeric(input$snmf_image_res    %||% 300)
       fig    <- input$snmf_figure %||% "Ancestry Plot"
-      # ── Shared plot helpers called here; no duplicated plot logic ─────────
       p <- if (fig == "Cross-Entropy Plot") ce_plot() else ancestry_plot()
       if (ext %in% c("png", "jpeg", "tiff")) {
         ggplot2::ggsave(filename = file, plot = p, width = width, height = height, units = "in", dpi = dpi)
@@ -696,11 +684,13 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       }
     }
   )
+  
   session$onSessionEnded(function() {
     cleanup_run_dir()
   })
 }
+
 ## To be copied in the UI
 # mod_SNMF_ui("SNMF_1")
 ## To be copied in the server
-# mod_SNMF_server("SNMF_1")
\ No newline at end of file
+# mod_SNMF_server("SNMF_1")

From 4cc6822a46a927429ca65b0fe1d3116da59ba1ee Mon Sep 17 00:00:00 2001
From: Josue Chinchilla-Vargas <josue.chinchilla@ufl.edu>
Date: Mon, 18 May 2026 09:59:02 -0400
Subject: [PATCH 14/26] Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---
 R/help_ped_cleaner.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/help_ped_cleaner.R b/R/help_ped_cleaner.R
index e2ac166..3caa6e8 100644
--- a/R/help_ped_cleaner.R
+++ b/R/help_ped_cleaner.R
@@ -88,7 +88,7 @@ help_content_ped_cleaner <- function(collapse_fn = NULL, id_prefix = "") {
     shiny::tags$ol(
       style = "font-size: 13px;",
       shiny::tags$li(shiny::HTML(
-        "<strong>Upload</strong> a tab-separated <code>.txt</code>, <code>.tsv</code>, or <code>.csv</code>
+        "<strong>Upload</strong> a tab-separated <code>.txt</code> or <code>.tsv</code>, or a comma-separated <code>.csv</code>,
         file with three columns: <code>id</code>, <code>male_parent</code>, <code>female_parent</code>."
       )),
       shiny::tags$li(shiny::HTML("<strong>Run Pedigree Check</strong> — scans for all five issue types below.")),

From f115df399669a71b1387d2781b728115355e75a2 Mon Sep 17 00:00:00 2001
From: Josue Chinchilla-Vargas <josue.chinchilla@ufl.edu>
Date: Mon, 18 May 2026 10:01:13 -0400
Subject: [PATCH 15/26] Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---
 R/mod_ped_cleaner.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/mod_ped_cleaner.R b/R/mod_ped_cleaner.R
index d93cdda..6529545 100644
--- a/R/mod_ped_cleaner.R
+++ b/R/mod_ped_cleaner.R
@@ -72,7 +72,7 @@ mod_ped_cleaner_ui <- function(id) {
               shiny::fluidRow(
                 shiny::column(12, shiny::wellPanel(shiny::HTML('
                   <ul>
-                    <li>Upload a tab-separated <code>.txt</code>, <code>.tsv</code>, or <code>.csv</code> pedigree file.</li>
+                    <li>Upload a tab-separated <code>.txt</code> or <code>.tsv</code> pedigree file, or a comma-separated <code>.csv</code> pedigree file.</li>
                     <li>Required columns: <code>id</code>, <code>male_parent</code>, <code>female_parent</code>.</li>
                     <li>Click <strong>Run Pedigree Check</strong> to detect issues.</li>
                     <li>Issues detected:</li>

From a24a0ce16cc77d5786a94ef2cf02baa6ac31c505 Mon Sep 17 00:00:00 2001
From: Josue Chinchilla-Vargas <josue.chinchilla@ufl.edu>
Date: Mon, 18 May 2026 10:04:47 -0400
Subject: [PATCH 16/26] Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---
 R/mod_polybreedtools.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/mod_polybreedtools.R b/R/mod_polybreedtools.R
index be8ae02..21196d0 100644
--- a/R/mod_polybreedtools.R
+++ b/R/mod_polybreedtools.R
@@ -64,7 +64,7 @@ mod_polybreedtools_ui <- function(id) {
                       <a href="https://www.animalsciencepublications.org/publications/tas/articles/1/1/36" target="_blank">Funkhouser et al. (2017)</a>.</li>
                     <li><strong>Input format:</strong></li>
                     <ul>
-                      <li><strong>Reference Genotypes:</strong> A genotype matrix (.txt) with SNPs in rows and samples in columns. The first column must be <code>ID</code>. Missing should be coded as <code>NA</code>.</li>
+                      <li><strong>Reference Genotypes:</strong> A genotype matrix (.txt) with samples in rows and SNP markers in columns. The first column must be <code>ID</code> containing sample IDs. Missing values should be coded as <code>NA</code>.</li>
                       <li><strong>Reference IDs:</strong> A two-column .txt file with population labels. Header example: <code>Group1</code>, <code>Group2</code>.</li>
                       <li><strong>Validation Genotypes:</strong> Same format as the reference genotype file.</li>
                     </ul>

From f1c340febbc2499b1ec0c3967c88e06a2ccf9038 Mon Sep 17 00:00:00 2001
From: Josue Chinchilla-Vargas <josue.chinchilla@ufl.edu>
Date: Mon, 18 May 2026 10:07:27 -0400
Subject: [PATCH 17/26] Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---
 R/mod_ped_cleaner.R | 1 +
 1 file changed, 1 insertion(+)

diff --git a/R/mod_ped_cleaner.R b/R/mod_ped_cleaner.R
index 6529545..485aa21 100644
--- a/R/mod_ped_cleaner.R
+++ b/R/mod_ped_cleaner.R
@@ -355,6 +355,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
         report  <- results$report
         tmp_dir <- tempfile("ped_export")
         dir.create(tmp_dir)
+        on.exit(unlink(tmp_dir, recursive = TRUE), add = TRUE)
         
         if (!is.null(results$corrected_ped)) {
           write.table(results$corrected_ped,

From d0db729d34a4c174a53674b30e67c2bb528419e5 Mon Sep 17 00:00:00 2001
From: Josue Chinchilla-Vargas <josue.chinchilla@ufl.edu>
Date: Mon, 18 May 2026 10:07:52 -0400
Subject: [PATCH 18/26] Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---
 R/mod_ped_cleaner.R | 1 +
 1 file changed, 1 insertion(+)

diff --git a/R/mod_ped_cleaner.R b/R/mod_ped_cleaner.R
index 485aa21..014ff23 100644
--- a/R/mod_ped_cleaner.R
+++ b/R/mod_ped_cleaner.R
@@ -208,6 +208,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
         
         # Correction 3: write ped_raw to a known-extension temp file 
         tmp_ped_path <- tempfile(fileext = ".txt")
+        on.exit(unlink(tmp_ped_path), add = TRUE)
         write.table(ped_raw, tmp_ped_path,
                     sep = "\t", row.names = FALSE, quote = FALSE)
         

From e9092c9a69f2e3697e928d840df54bd655092129 Mon Sep 17 00:00:00 2001
From: "josue.chinchilla" <josue.chinchilla@IFASadmins-MacBook-Pro.local>
Date: Mon, 18 May 2026 10:19:38 -0400
Subject: [PATCH 19/26] updated help file to match new buttons

---
 R/help_SNMF.R | 8 ++------
 1 file changed, 2 insertions(+), 6 deletions(-)

diff --git a/R/help_SNMF.R b/R/help_SNMF.R
index 3874697..e8b08f9 100644
--- a/R/help_SNMF.R
+++ b/R/help_SNMF.R
@@ -111,8 +111,7 @@ help_content_SNMF <- function(collapse_fn = NULL, id_prefix = "") {
         "<strong>Review</strong> the Cross-Entropy, Ancestry Plot, Q Matrix, and Logs tabs."
       )),
       shiny::tags$li(shiny::HTML(
-        "<strong>Export</strong> the Q matrix as <code>.csv</code>, cross-entropy as <code>.csv</code>,
-         or the full LEA project as a <code>.zip</code>."
+        "<strong>Export</strong> the Q matrix as <code>.csv</code>or cross-entropy as <code>.csv</code>."
       ))
     ),
     shiny::hr(style = "margin: 8px 0;"),
@@ -279,10 +278,7 @@ help_content_SNMF <- function(collapse_fn = NULL, id_prefix = "") {
         "<code>Download cross-entropy (CSV)</code> — full cross-entropy table across all
          K values and repetitions (only available when cross-entropy is enabled)."
       )),
-      shiny::tags$li(shiny::HTML(
-        "<code>Save Project (.zip)</code> — complete LEA project directory, allowing you
-         to reload results in R using <code>LEA::load.snmfProject()</code>."
-      )),
+
       shiny::tags$li(shiny::HTML(
         "<code>Save Image</code> — exports the Cross-Entropy Plot or Ancestry Plot as
          <code>jpeg</code>, <code>tiff</code>, <code>png</code>, or <code>svg</code>

From 0dde4d316a9c1d7f688f1b71532d5cccc1b29b59 Mon Sep 17 00:00:00 2001
From: "josue.chinchilla" <josue.chinchilla@IFASadmins-MacBook-Pro.local>
Date: Mon, 18 May 2026 10:45:57 -0400
Subject: [PATCH 20/26] added sorting option for plot and fixed brwer pallette
 not having enough colors for SNMF

---
 R/mod_SNMF.R | 55 +++++++++++++++++++++++++++++++++++++++++++++++-----
 1 file changed, 50 insertions(+), 5 deletions(-)

diff --git a/R/mod_SNMF.R b/R/mod_SNMF.R
index 2a41bc3..c7a3131 100644
--- a/R/mod_SNMF.R
+++ b/R/mod_SNMF.R
@@ -23,6 +23,7 @@ mod_SNMF_ui <- function(id) {
         overlayOpacity = 0.3,
         refreshColour  = "purple"
       ),
+      
       #  Column 1: Inputs
       shiny::column(
         width = 3,
@@ -75,6 +76,7 @@ mod_SNMF_ui <- function(id) {
           )
         )
       ),
+      
       #  Column 2: Results
       shiny::column(
         width = 6,
@@ -124,6 +126,7 @@ mod_SNMF_ui <- function(id) {
           )
         )
       ),
+      
       #  Column 3: Status + Plot Controls
       shiny::column(
         width = 3,
@@ -161,7 +164,8 @@ mod_SNMF_ui <- function(id) {
             ),
             selected = "Set1"
           ),
-          shiny::checkboxInput(ns("snmf_show_sample_labels"), "Show sample labels", value = TRUE),
+          shiny::checkboxInput(ns("snmf_show_sample_labels"), "Show sample labels",     value = TRUE),
+          shiny::checkboxInput(ns("snmf_sort_by_cluster"),    "Sort by dominant cluster", value = FALSE),
           shiny::sliderInput(ns("snmf_label_size"), "Label size", min = 6, max = 14, value = 8, step = 1),
           shiny::div(
             style = "display:inline-block; float:left",
@@ -426,11 +430,36 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       times     = q_cols,
       direction = "long"
     )
-    long$ID      <- factor(long$ID,      levels = unique(df$ID))
     long$Cluster <- factor(long$Cluster, levels = q_cols)
+    
+    # Sort by dominant cluster
+    if (isTRUE(input$snmf_sort_by_cluster)) {
+      q_wide           <- as.data.frame(q)
+      dominant_cluster <- colnames(q_wide)[max.col(q_wide, ties.method = "first")]
+      dominant_value   <- apply(q_wide, 1, max, na.rm = TRUE)
+      id_order <- data.frame(
+        ID               = rownames(q),
+        dominant_cluster = dominant_cluster,
+        dominant_value   = dominant_value,
+        stringsAsFactors = FALSE
+      )
+      id_order <- id_order[order(id_order$dominant_cluster, -id_order$dominant_value), ]
+      long$ID  <- factor(long$ID, levels = id_order$ID)
+    } else {
+      long$ID <- factor(long$ID, levels = unique(df$ID))
+    }
+
+    #  Palette fix: brwer pallete allows up to 9 colors but we need 10
+    palette_name <- input$snmf_color_choice %||% "Set1"
+    palette_info <- RColorBrewer::brewer.pal.info[palette_name, , drop = FALSE]
+    max_colors   <- palette_info$maxcolors[[1]]
+    n_base       <- max(3L, max_colors)         # brewer.pal requires n >= 3
+    base_colors  <- RColorBrewer::brewer.pal(n_base, palette_name)
+    fill_colors  <- grDevices::colorRampPalette(base_colors)(length(q_cols))
+
     p <- ggplot2::ggplot(long, ggplot2::aes(x = ID, y = Q, fill = Cluster)) +
       ggplot2::geom_col(width = 0.9) +
-      ggplot2::scale_fill_brewer(palette = input$snmf_color_choice %||% "Set1") +
+      ggplot2::scale_fill_manual(values = fill_colors, drop = FALSE) +
       ggplot2::scale_y_continuous(labels = scales::percent_format(accuracy = 1)) +
       ggplot2::labs(x = "Individual", y = "Ancestry proportion", fill = "Cluster") +
       ggplot2::theme_minimal() +
@@ -441,6 +470,7 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
         ),
         panel.grid.major.x = ggplot2::element_blank()
       )
+    
     if (!isTRUE(input$snmf_show_sample_labels)) {
       p <- p + ggplot2::theme(
         axis.text.x  = ggplot2::element_blank(),
@@ -457,7 +487,7 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
     DT::datatable(df, options = list(scrollX = TRUE, pageLength = 10))
   })
   
-  output$snmf_q_plot <- shiny::renderPlot({ ancestry_plot() })
+  output$snmf_q_plot  <- shiny::renderPlot({ ancestry_plot() })
   output$snmf_ce_plot <- shiny::renderPlot({ ce_plot() })
   
   output$snmf_ce_table <- DT::renderDT({
@@ -508,13 +538,16 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
     state$best_k          <- NULL
     state$best_run_by_k   <- NULL
     state$sample_ids      <- NULL
+    
     shinyWidgets::updateProgressBar(session = session, id = "pb_snmf", value = 5,  title = "Preparing input")
     set_status("Preparing input...\n")
+    
     uploaded_name <- input$snmf_file$name %||% "genotypes"
     ext_lower     <- tolower(uploaded_name)
     file_base     <- sub("\\.(vcf\\.gz|vcf|geno|gz)$", "", basename(uploaded_name), ignore.case = TRUE)
     geno_path     <- file.path(state$run_dir, paste0(file_base, ".geno"))
     uploaded_path <- input$snmf_file$datapath
+    
     if (grepl("\\.geno$", ext_lower)) {
       copy_file_if_needed(uploaded_path, geno_path, overwrite = TRUE)
     } else if (grepl("\\.vcf\\.gz$|\\.vcf$|\\.gz$", ext_lower)) {
@@ -547,8 +580,10 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       set_status("ERROR: Unsupported file type.\n")
       return()
     }
+    
     state$geno_path <- geno_path
     state$vcf_path  <- NULL
+    
     shinyWidgets::updateProgressBar(session = session, id = "pb_snmf", value = 35, title = "Running SNMF")
     set_status(
       "Running SNMF...\n",
@@ -557,9 +592,11 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       "Repetitions: ", reps, "\n",
       "Entropy: ", if (entropy_enabled) "enabled" else "disabled", "\n"
     )
+    
     old_wd <- getwd()
     on.exit(setwd(old_wd), add = TRUE)
     setwd(state$run_dir)
+    
     snmf_args <- list(
       state$geno_path,
       K           = state$k_values,
@@ -573,6 +610,7 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       CPU         = as.integer(input$snmf_cpu),
       seed        = as.integer(input$snmf_seed)
     )
+    
     project <- tryCatch(
       call_with_allowed_named_args(LEA::snmf, snmf_args),
       error = function(e) e
@@ -584,8 +622,10 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       return()
     }
     state$project <- project
+    
     shinyWidgets::updateProgressBar(session = session, id = "pb_snmf", value = 75, title = "Summarizing results")
     set_status(paste0(capture.output(str(project, max.level = 1)), collapse = "\n"), "\n")
+    
     if (entropy_enabled) {
       ce_records <- list()
       for (k in state$k_values) {
@@ -603,6 +643,7 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
         }
       }
       state$ce_df <- do.call(rbind, ce_records)
+      
       min_ce_by_k   <- tapply(state$ce_df$cross_entropy, state$ce_df$K, min, na.rm = TRUE)
       best_run_by_k <- sapply(names(min_ce_by_k), function(k_chr) {
         k_int <- as.integer(k_chr)
@@ -611,6 +652,7 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
         sub$run[which.min(sub$cross_entropy)]
       })
       state$best_run_by_k <- best_run_by_k
+      
       ce_summary <- data.frame(
         K                 = as.integer(names(min_ce_by_k)),
         best_run          = as.integer(best_run_by_k[names(min_ce_by_k)]),
@@ -623,6 +665,7 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
     } else {
       state$best_k <- state$k_values[[1]]
     }
+    
     shiny::updateSelectInput(
       session, "snmf_selected_k",
       choices  = as.character(state$k_values),
@@ -638,6 +681,7 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       choices  = as.character(seq_len(reps)),
       selected = as.character(initial_run)
     )
+    
     shinyWidgets::updateProgressBar(session = session, id = "pb_snmf", value = 100, title = "Complete!")
     set_status("SNMF complete.\n")
   })
@@ -692,5 +736,6 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
 
 ## To be copied in the UI
 # mod_SNMF_ui("SNMF_1")
+
 ## To be copied in the server
-# mod_SNMF_server("SNMF_1")
+# mod_SNMF_server("SNMF_1")
\ No newline at end of file

From bac81de69be89f2585b308f012464fd2c6403e30 Mon Sep 17 00:00:00 2001
From: "josue.chinchilla" <josue.chinchilla@IFASadmins-MacBook-Pro.local>
Date: Mon, 18 May 2026 10:50:58 -0400
Subject: [PATCH 21/26] updated help_SNMF to show latest changes

---
 R/help_SNMF.R | 73 ++++++++++++++++++++++++++++++++++++++++-----------
 1 file changed, 58 insertions(+), 15 deletions(-)

diff --git a/R/help_SNMF.R b/R/help_SNMF.R
index e8b08f9..0cf8e28 100644
--- a/R/help_SNMF.R
+++ b/R/help_SNMF.R
@@ -11,7 +11,6 @@
 #' @noRd
 help_content_SNMF <- function(collapse_fn = NULL, id_prefix = "") {
   pid <- function(x) if (nchar(id_prefix) > 0) paste0(id_prefix, "_", x) else x
-  
   if (is.null(collapse_fn)) {
     collapse_fn <- function(panel_id, icon_name, label, body_content) {
       shiny::tags$div(
@@ -58,7 +57,6 @@ help_content_SNMF <- function(collapse_fn = NULL, id_prefix = "") {
       shiny::tags$tbody(rows)
     )
   }
-  
   ce_row <- function(k, run, ce, bg = NULL) {
     style <- if (!is.null(bg)) paste0("background-color:", bg, ";") else ""
     shiny::tags$tr(
@@ -70,7 +68,6 @@ help_content_SNMF <- function(collapse_fn = NULL, id_prefix = "") {
   }
   
   shiny::tagList(
-    
     shiny::h6(shiny::tagList(shiny::icon("circle-info"), " Overview"),
               style = "font-weight: bold;"),
     shiny::p(
@@ -111,7 +108,7 @@ help_content_SNMF <- function(collapse_fn = NULL, id_prefix = "") {
         "<strong>Review</strong> the Cross-Entropy, Ancestry Plot, Q Matrix, and Logs tabs."
       )),
       shiny::tags$li(shiny::HTML(
-        "<strong>Export</strong> the Q matrix as <code>.csv</code>or cross-entropy as <code>.csv</code>."
+        "<strong>Export</strong> the Q matrix as <code>.csv</code> or cross-entropy as <code>.csv</code>."
       ))
     ),
     shiny::hr(style = "margin: 8px 0;"),
@@ -123,7 +120,6 @@ help_content_SNMF <- function(collapse_fn = NULL, id_prefix = "") {
     ),
     shiny::p("Click each mode to see how K and run are selected.",
              style = "color: #6c757d; font-size: 12px; margin-bottom: 8px;"),
-    
     collapse_fn(
       panel_id     = pid("snmf_help_auto_entropy"),
       icon_name    = "wand-magic-sparkles",
@@ -147,7 +143,6 @@ help_content_SNMF <- function(collapse_fn = NULL, id_prefix = "") {
         )
       )
     ),
-    
     collapse_fn(
       panel_id     = pid("snmf_help_manual_entropy"),
       icon_name    = "hand-pointer",
@@ -166,7 +161,6 @@ help_content_SNMF <- function(collapse_fn = NULL, id_prefix = "") {
         )
       )
     ),
-    
     collapse_fn(
       panel_id     = pid("snmf_help_no_entropy"),
       icon_name    = "ban",
@@ -184,7 +178,6 @@ help_content_SNMF <- function(collapse_fn = NULL, id_prefix = "") {
         )
       )
     ),
-    
     shiny::hr(style = "margin: 8px 0;"),
     
     # ── Parameter Reference ──────────────────────────────────────────
@@ -194,7 +187,6 @@ help_content_SNMF <- function(collapse_fn = NULL, id_prefix = "") {
     ),
     shiny::p("Click each parameter to see what it controls.",
              style = "color: #6c757d; font-size: 12px; margin-bottom: 8px;"),
-    
     collapse_fn(
       panel_id     = pid("snmf_help_alpha"),
       icon_name    = "a",
@@ -206,7 +198,6 @@ help_content_SNMF <- function(collapse_fn = NULL, id_prefix = "") {
         style = "margin: 0;"
       )
     ),
-    
     collapse_fn(
       panel_id     = pid("snmf_help_iterations"),
       icon_name    = "rotate",
@@ -217,7 +208,6 @@ help_content_SNMF <- function(collapse_fn = NULL, id_prefix = "") {
         style = "margin: 0;"
       )
     ),
-    
     collapse_fn(
       panel_id     = pid("snmf_help_tolerance"),
       icon_name    = "arrows-left-right-to-line",
@@ -229,7 +219,6 @@ help_content_SNMF <- function(collapse_fn = NULL, id_prefix = "") {
         style = "margin: 0;"
       )
     ),
-    
     collapse_fn(
       panel_id     = pid("snmf_help_percentage"),
       icon_name    = "percent",
@@ -240,7 +229,6 @@ help_content_SNMF <- function(collapse_fn = NULL, id_prefix = "") {
         style = "margin: 0;"
       )
     ),
-    
     collapse_fn(
       panel_id     = pid("snmf_help_cpu"),
       icon_name    = "microchip",
@@ -251,7 +239,6 @@ help_content_SNMF <- function(collapse_fn = NULL, id_prefix = "") {
         style = "margin: 0;"
       )
     ),
-    
     collapse_fn(
       panel_id     = pid("snmf_help_seed"),
       icon_name    = "seedling",
@@ -262,7 +249,64 @@ help_content_SNMF <- function(collapse_fn = NULL, id_prefix = "") {
         style = "margin: 0;"
       )
     ),
+    shiny::hr(style = "margin: 8px 0;"),
     
+    # ── Plot Controls ─────────────────────────────────────────────────
+    shiny::h6(
+      shiny::tagList(shiny::icon("palette"), " Plot Controls"),
+      style = "font-weight: bold;"
+    ),
+    shiny::p("Click each control to see what it does.",
+             style = "color: #6c757d; font-size: 12px; margin-bottom: 8px;"),
+    collapse_fn(
+      panel_id     = pid("snmf_help_color_palette"),
+      icon_name    = "palette",
+      label        = "Color Palette",
+      body_content = shiny::p(
+        "Selects the color scheme for the ancestry plot. Palettes are drawn from ColorBrewer.
+         When the number of clusters (K) exceeds the maximum colors supported by the chosen
+         palette, colors are automatically interpolated so every cluster receives a distinct
+         color. Colorblind-friendly palettes are available in the second group of the dropdown.",
+        style = "margin: 0;"
+      )
+    ),
+    collapse_fn(
+      panel_id     = pid("snmf_help_show_labels"),
+      icon_name    = "tag",
+      label        = "Show sample labels",
+      body_content = shiny::p(
+        "Toggles the display of individual sample IDs on the x-axis of the ancestry plot.
+         Hiding labels can improve readability for large datasets.",
+        style = "margin: 0;"
+      )
+    ),
+    collapse_fn(
+      panel_id     = pid("snmf_help_sort_by_cluster"),
+      icon_name    = "arrow-down-wide-short",
+      label        = "Sort by dominant cluster",
+      body_content = shiny::tagList(
+        shiny::p(
+          "When checked, individuals in the ancestry plot are reordered so that those sharing
+           the same dominant cluster appear together, sorted from highest to lowest proportion
+           of that cluster. This produces the classic STRUCTURE-style grouped bar plot.",
+          style = "margin-bottom: 6px;"
+        ),
+        shiny::p(
+          "When unchecked, individuals are displayed in their original input order.",
+          style = "color: #6c757d; font-size: 11px; margin: 0;"
+        )
+      )
+    ),
+    collapse_fn(
+      panel_id     = pid("snmf_help_label_size"),
+      icon_name    = "text-height",
+      label        = "Label size",
+      body_content = shiny::p(
+        "Controls the font size of the sample ID labels on the x-axis. Range is 6–14pt.
+         Only has a visible effect when sample labels are enabled.",
+        style = "margin: 0;"
+      )
+    ),
     shiny::hr(style = "margin: 8px 0;"),
     
     # ── Export Contents ──────────────────────────────────────────────
@@ -278,7 +322,6 @@ help_content_SNMF <- function(collapse_fn = NULL, id_prefix = "") {
         "<code>Download cross-entropy (CSV)</code> — full cross-entropy table across all
          K values and repetitions (only available when cross-entropy is enabled)."
       )),
-
       shiny::tags$li(shiny::HTML(
         "<code>Save Image</code> — exports the Cross-Entropy Plot or Ancestry Plot as
          <code>jpeg</code>, <code>tiff</code>, <code>png</code>, or <code>svg</code>

From 5721583e0f68b5342638f39da0dbf9eb5f621bea Mon Sep 17 00:00:00 2001
From: "josue.chinchilla" <josue.chinchilla@IFASadmins-MacBook-Pro.local>
Date: Tue, 19 May 2026 14:13:42 -0400
Subject: [PATCH 22/26] incorporated autopilot feedback

---
 R/app_ui.R              | 16 +++++++-------
 R/help_polybreedtools.R |  9 ++++----
 R/mod_SNMF.R            |  2 +-
 R/mod_ped_cleaner.R     | 46 ++++++++++++++++++++---------------------
 4 files changed, 37 insertions(+), 36 deletions(-)

diff --git a/R/app_ui.R b/R/app_ui.R
index 21db514..7fe4acc 100644
--- a/R/app_ui.R
+++ b/R/app_ui.R
@@ -12,15 +12,16 @@ app_ui <- function(request) {
   tagList(
     # Leave this function for adding external resources
     golem_add_external_resources(),
-    # ── Sidebar color theme ──────────────────────────────────────────────────────
+    
     # Dynamic sidebar color theme — only sets the :root CSS variables
     # Available options: "azure", "green", "yellow", "grey", "purple", "red"
     # Change this value to switch the active sidebar menu item color.
-    # ─────────────────────────────────────────────────────────────────────────────
+
     tags$head(tags$style(HTML(sprintf(
       ":root { --sidebar-core: var(--%s-core); --sidebar-lite: var(--%s-lite); --sidebar-deep: var(--%s-deep); }",
       "green", "green", "green"
     )))),
+    
     # Your application UI logic
     bs4DashPage(
       skin = "black",
@@ -53,7 +54,7 @@ app_ui <- function(request) {
           )
         )
       ),
-      help = NULL, #This is the default bs4Dash button to control the presence of tooltips and popovers, which can be added as a user help/info feature.
+      help = NULL,
       bs4DashSidebar(
         skin          = "light",
         status        = "warning",
@@ -69,8 +70,8 @@ app_ui <- function(request) {
           tags$li(class = "header", style = "color: grey; margin-top: 18px; margin-bottom: 10px; padding-left: 15px;", "Breed/Line Composition"),
           menuItem(HTML("BreedTools<sup>poly</sup>"), tabName = "polybreedtools", icon = icon("chart-column")),
           menuItem("SNMF", tabName = "snmf", icon = icon("list-ol")),
-          # ── Genomic Diversity tab intentionally removed ──────────────────────
-          tags$li(class = "header", style = "color: grey; margin-top: 18px; margin-bottom: 10px; padding-left: 15px;", "Information"),
+
+                    tags$li(class = "header", style = "color: grey; margin-top: 18px; margin-bottom: 10px; padding-left: 15px;", "Information"),
           menuItem("Source Code", icon = icon("circle-info"), href = "https://github.com/Breeding-Insight/familia"),
           menuItem("Help", tabName = "help", icon = icon("circle-question"))
         )
@@ -99,7 +100,7 @@ app_ui <- function(request) {
         )
       ),
       dashboardBody(
-        disconnectMessage(), #Adds generic error message for any error if not already accounted for
+        disconnectMessage(),
         tags$style(
           HTML(
             ".main-footer {
@@ -163,7 +164,6 @@ golem_add_external_resources <- function() {
       /* Make collapse/expand icons visible on white box headers */
       .card-tools .btn-tool { color: #495057 !important; }
       .card-tools .btn-tool:hover { color: #212529 !important; }
-    "))
-    # ── Tab-sync script removed: handler already defined in custom.js ────────
+    ")),
   )
 }
\ No newline at end of file
diff --git a/R/help_polybreedtools.R b/R/help_polybreedtools.R
index d466620..22a3a32 100644
--- a/R/help_polybreedtools.R
+++ b/R/help_polybreedtools.R
@@ -113,15 +113,16 @@ help_content_polybreedtools <- function(collapse_fn = NULL, id_prefix = "") {
       style = "font-size: 13px;",
       shiny::tags$li(shiny::HTML(
         "<strong>Upload Reference Genotypes</strong> — a tab-separated <code>.txt</code> file with
-         SNPs in rows and samples in columns. The first column must be <code>ID</code>.
-         Missing values should be coded as <code>NA</code>."
+  samples in rows and SNP markers in columns. The first column must be <code>ID</code>.
+  Missing values should be coded as <code>NA</code>."
       )),
       shiny::tags$li(shiny::HTML(
         "<strong>Upload Reference IDs</strong> — a tab-separated <code>.txt</code> file assigning
-         each reference sample to a group/line. Each column is one group; values are sample IDs."
+  each reference sample to a group/line. Each column is one group; values are sample IDs."
       )),
       shiny::tags$li(shiny::HTML(
-        "<strong>Upload Validation Genotypes</strong> — same format as the reference genotype file."
+        "<strong>Upload Validation Genotypes</strong> — same format as the reference genotype file
+  (samples in rows, SNP markers in columns, first column named <code>ID</code>)."
       )),
       shiny::tags$li(shiny::HTML(
         "<strong>Set Ploidy</strong> — enter the ploidy level of the species (e.g., 2 for diploid, 4 for tetraploid)."
diff --git a/R/mod_SNMF.R b/R/mod_SNMF.R
index c7a3131..ca5b6eb 100644
--- a/R/mod_SNMF.R
+++ b/R/mod_SNMF.R
@@ -449,7 +449,7 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       long$ID <- factor(long$ID, levels = unique(df$ID))
     }
 
-    #  Palette fix: brwer pallete allows up to 9 colors but we need 10
+    #  Palette fix: brewer pallete allows up to 9 colors but we need 10
     palette_name <- input$snmf_color_choice %||% "Set1"
     palette_info <- RColorBrewer::brewer.pal.info[palette_name, , drop = FALSE]
     max_colors   <- palette_info$maxcolors[[1]]
diff --git a/R/mod_ped_cleaner.R b/R/mod_ped_cleaner.R
index 014ff23..48bdaef 100644
--- a/R/mod_ped_cleaner.R
+++ b/R/mod_ped_cleaner.R
@@ -1,4 +1,3 @@
-
 #' Pedigree Cleaner module UI
 #'
 #' @param id Module id
@@ -10,7 +9,7 @@ mod_ped_cleaner_ui <- function(id) {
     shinyjs::useShinyjs(),
     shiny::fluidRow(
       
-      # Column 1: Inputs 
+      # Column 1: Inputs
       shiny::column(
         width = 3,
         bs4Dash::box(
@@ -54,7 +53,7 @@ mod_ped_cleaner_ui <- function(id) {
         )  # closes box
       ),  # closes column(width = 3)
       
-      # Column 2: Results 
+      # Column 2: Results
       shiny::column(
         width = 6,
         bs4Dash::box(
@@ -103,7 +102,7 @@ mod_ped_cleaner_ui <- function(id) {
         )  # closes box
       ),  # closes column(width = 6)
       
-      # Column 3: Status 
+      # Column 3: Status
       shiny::column(
         width = 3,
         bs4Dash::box(
@@ -126,7 +125,6 @@ mod_ped_cleaner_ui <- function(id) {
   )    # closes tagList
 }
 
-
 #' Pedigree Cleaner module server
 #'
 #' @param id Module id
@@ -138,7 +136,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
     
     check_results <- shiny::reactiveVal(NULL)
     
-    # Help button 
+    # Help button
     shiny::observeEvent(input$help_btn, {
       shiny::showModal(
         shiny::modalDialog(
@@ -151,11 +149,11 @@ mod_ped_cleaner_server <- function(id, parent_session) {
       )
     })
     
-    # Run check 
+    # Run check
     shiny::observeEvent(input$run_check, {
       shiny::req(input$ped_file)
       check_results(NULL)
-      shinyjs::disable("download_results")          # ← un-namespaced; shinyjs handles it
+      shinyjs::disable("download_results")
       
       tryCatch({
         shinyWidgets::updateProgressBar(
@@ -206,7 +204,6 @@ mod_ped_cleaner_server <- function(id, parent_session) {
           title = "Detecting cycles and dependencies..."
         )
         
-        # Correction 3: write ped_raw to a known-extension temp file 
         tmp_ped_path <- tempfile(fileext = ".txt")
         on.exit(unlink(tmp_ped_path), add = TRUE)
         write.table(ped_raw, tmp_ped_path,
@@ -218,10 +215,9 @@ mod_ped_cleaner_server <- function(id, parent_session) {
           save_zip = FALSE
         )
         
-        # Correction 4: retrieve corrected pedigree from check_ped return 
-        # Use the session-local report value instead of reaching into .GlobalEnv
+        # Use corrected_pedigree — the field returned by the latest check_ped [7]
         corrected_ped <- tryCatch(
-          report$corrected_ped,
+          report$corrected_pedigree,
           error = function(e) NULL
         )
         
@@ -235,7 +231,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
           value = 100, status = "success",
           title = "Finished"
         )
-        shinyjs::enable("download_results")          # ← un-namespaced; shinyjs handles it
+        shinyjs::enable("download_results")
         
         shiny::updateTabsetPanel(session, "ped_results_tabs", selected = "Summary")
         
@@ -248,7 +244,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
       })
     })
     
-    # Summary banner 
+    # Summary banner
     output$summary_banner <- shiny::renderUI({
       shiny::req(check_results())
       report <- check_results()$report
@@ -256,7 +252,8 @@ mod_ped_cleaner_server <- function(id, parent_session) {
       get_count <- function(df) if (is.null(df) || !is.data.frame(df)) 0L else nrow(df)
       n_dupes    <- get_count(report$exact_duplicates)
       n_conflict <- get_count(report$repeated_ids_diff)
-      n_messy    <- get_count(report$inconsistent_sex_roles)
+      # use messy_parents from check_ped return [7]; label stays "inconsistent sex roles"
+      n_messy    <- get_count(report$messy_parents)
       n_missing  <- get_count(report$missing_parents)
       n_cycles   <- get_count(report$dependencies)
       total      <- n_dupes + n_conflict + n_messy + n_missing + n_cycles
@@ -282,7 +279,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
       ))
     })
     
-    # Results UI 
+    # Results UI
     output$results_ui <- shiny::renderUI({
       shiny::req(check_results())
       report <- check_results()$report
@@ -328,7 +325,8 @@ mod_ped_cleaner_server <- function(id, parent_session) {
       
       render_if("Exact Duplicates Removed",       report$exact_duplicates)
       render_if("Conflicting IDs Resolved",       report$repeated_ids_diff)
-      render_if("Inconsistent Parent Sex Roles",  report$inconsistent_sex_roles)
+      # user-facing label stays "Inconsistent Parent Sex Roles"; data from messy_parents [7]
+      render_if("Inconsistent Parent Sex Roles",  report$messy_parents)
       render_if("Missing Parents Added",          report$missing_parents)
       render_if("Cycles / Dependencies Detected", report$dependencies)
       
@@ -337,11 +335,12 @@ mod_ped_cleaner_server <- function(id, parent_session) {
           shiny::tagList(shiny::icon("list-check"), " Check Results"),
           style = "font-weight: bold; margin-bottom: 10px;"
         ),
-        make_section("Exact Duplicates Removed",       "copy",        report$exact_duplicates,       "#6c757d"),
-        make_section("Conflicting IDs Resolved",       "exclamation", report$repeated_ids_diff,      "#856404"),
-        make_section("Inconsistent Parent Sex Roles",  "shuffle",     report$inconsistent_sex_roles, "#856404"),
-        make_section("Missing Parents Added",          "user-plus",   report$missing_parents,        "#0c5460"),
-        make_section("Cycles / Dependencies Detected", "rotate",      report$dependencies,           "#721c24")
+        make_section("Exact Duplicates Removed",       "copy",        report$exact_duplicates,  "#6c757d"),
+        make_section("Conflicting IDs Resolved",       "exclamation", report$repeated_ids_diff, "#856404"),
+        # user-facing label stays "Inconsistent Parent Sex Roles"; data from messy_parents [7]
+        make_section("Inconsistent Parent Sex Roles",  "shuffle",     report$messy_parents,     "#856404"),
+        make_section("Missing Parents Added",          "user-plus",   report$missing_parents,   "#0c5460"),
+        make_section("Cycles / Dependencies Detected", "rotate",      report$dependencies,      "#721c24")
       )
     })
     
@@ -367,7 +366,8 @@ mod_ped_cleaner_server <- function(id, parent_session) {
         sections <- list(
           exact_duplicates       = report$exact_duplicates,
           conflicting_ids        = report$repeated_ids_diff,
-          inconsistent_sex_roles = report$inconsistent_sex_roles,
+          # key stays inconsistent_sex_roles so the output filename matches help docs [5]
+          inconsistent_sex_roles = report$messy_parents,
           missing_parents        = report$missing_parents,
           dependencies           = report$dependencies
         )

From 03b3ac19b950030747239c0f63eeaaed01c95e2f Mon Sep 17 00:00:00 2001
From: "josue.chinchilla" <josue.chinchilla@IFASadmins-MacBook-Pro.local>
Date: Tue, 19 May 2026 15:51:14 -0400
Subject: [PATCH 23/26] fixed app_ui trailing comma

---
 R/app_ui.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/app_ui.R b/R/app_ui.R
index 7fe4acc..0509246 100644
--- a/R/app_ui.R
+++ b/R/app_ui.R
@@ -164,6 +164,6 @@ golem_add_external_resources <- function() {
       /* Make collapse/expand icons visible on white box headers */
       .card-tools .btn-tool { color: #495057 !important; }
       .card-tools .btn-tool:hover { color: #212529 !important; }
-    ")),
+    "))
   )
 }
\ No newline at end of file

From 490a77a327143885bbed51ed01e37da5c6bb0344 Mon Sep 17 00:00:00 2001
From: "josue.chinchilla" <josue.chinchilla@IFASadmins-MacBook-Pro.local>
Date: Tue, 19 May 2026 16:10:15 -0400
Subject: [PATCH 24/26] reverted to inconcistent_sex_roles

---
 R/mod_ped_cleaner.R | 12 ++++--------
 1 file changed, 4 insertions(+), 8 deletions(-)

diff --git a/R/mod_ped_cleaner.R b/R/mod_ped_cleaner.R
index 48bdaef..b747284 100644
--- a/R/mod_ped_cleaner.R
+++ b/R/mod_ped_cleaner.R
@@ -252,8 +252,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
       get_count <- function(df) if (is.null(df) || !is.data.frame(df)) 0L else nrow(df)
       n_dupes    <- get_count(report$exact_duplicates)
       n_conflict <- get_count(report$repeated_ids_diff)
-      # use messy_parents from check_ped return [7]; label stays "inconsistent sex roles"
-      n_messy    <- get_count(report$messy_parents)
+      n_messy    <- get_count(report$inconsistent_sex_roles)
       n_missing  <- get_count(report$missing_parents)
       n_cycles   <- get_count(report$dependencies)
       total      <- n_dupes + n_conflict + n_messy + n_missing + n_cycles
@@ -325,8 +324,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
       
       render_if("Exact Duplicates Removed",       report$exact_duplicates)
       render_if("Conflicting IDs Resolved",       report$repeated_ids_diff)
-      # user-facing label stays "Inconsistent Parent Sex Roles"; data from messy_parents [7]
-      render_if("Inconsistent Parent Sex Roles",  report$messy_parents)
+      render_if("Inconsistent Parent Sex Roles",  report$inconsistent_sex_roles)
       render_if("Missing Parents Added",          report$missing_parents)
       render_if("Cycles / Dependencies Detected", report$dependencies)
       
@@ -337,8 +335,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
         ),
         make_section("Exact Duplicates Removed",       "copy",        report$exact_duplicates,  "#6c757d"),
         make_section("Conflicting IDs Resolved",       "exclamation", report$repeated_ids_diff, "#856404"),
-        # user-facing label stays "Inconsistent Parent Sex Roles"; data from messy_parents [7]
-        make_section("Inconsistent Parent Sex Roles",  "shuffle",     report$messy_parents,     "#856404"),
+        make_section("Inconsistent Parent Sex Roles",  "shuffle",     report$inconsistent_sex_roles,     "#856404"),
         make_section("Missing Parents Added",          "user-plus",   report$missing_parents,   "#0c5460"),
         make_section("Cycles / Dependencies Detected", "rotate",      report$dependencies,      "#721c24")
       )
@@ -366,8 +363,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
         sections <- list(
           exact_duplicates       = report$exact_duplicates,
           conflicting_ids        = report$repeated_ids_diff,
-          # key stays inconsistent_sex_roles so the output filename matches help docs [5]
-          inconsistent_sex_roles = report$messy_parents,
+          inconsistent_sex_roles = report$inconsistent_sex_roles,
           missing_parents        = report$missing_parents,
           dependencies           = report$dependencies
         )

From 9258384201c25e7a99f5ca64ecc9e82dcfa36b70 Mon Sep 17 00:00:00 2001
From: "josue.chinchilla" <josue.chinchilla@IFASadmins-MacBook-Pro.local>
Date: Wed, 20 May 2026 16:28:09 -0400
Subject: [PATCH 25/26] Updated UI and ped_cleaner function

---
 .DS_Store              | Bin 14340 -> 14340 bytes
 R/help_ped_cleaner.R   |  97 ++++++++++++++---------
 R/mod_SNMF.R           |   2 +-
 R/mod_ped_cleaner.R    | 176 +++++++++++++++++++++++++----------------
 R/mod_polybreedtools.R |   3 +-
 5 files changed, 168 insertions(+), 110 deletions(-)

diff --git a/.DS_Store b/.DS_Store
index 52c0cb9c44425914fb95c19038bce9ee71f5cfe1..6ff26b3ca5cecd70dc7e3c2709a7097081a9ee28 100644
GIT binary patch
delta 275
zcmZoEXepTB&#1OBV7EM@=w=>;lkB!)49N`n3`Ibg3S^Z4$rOfoh5|61$&d~fPi4>p
z%2Y6vc;@6MC*|ZPF)%O)FfcF`O+Kc+sh*c1jUkaCmm!lO2Z$4aYJ-6Ki-4wPp{i$8
u0_xNI4+cOM1A{P7CrDQgX|@7&&O?|odA<hM=0*)h#?5|O?Y#OV`Ue1Mc10xs

delta 46
zcmZoEXepTB&#1gHV7EM@&}JTmlkAffH5O0K(d69htI5c?xk<8>Z8N*UIgqeE0Cso}
A2LJ#7

diff --git a/R/help_ped_cleaner.R b/R/help_ped_cleaner.R
index 3caa6e8..843afb6 100644
--- a/R/help_ped_cleaner.R
+++ b/R/help_ped_cleaner.R
@@ -1,4 +1,4 @@
-# help_content_ped_cleaner.R  
+# help_content_ped_cleaner.R
 #' Pedigree Cleaner help content
 #'
 #' Returns the UI content for the Pedigree Cleaner help section.
@@ -44,7 +44,7 @@ help_content_ped_cleaner <- function(collapse_fn = NULL, id_prefix = "") {
     }
   }
   
-  # ── Shared pedigree table helpers ──────────────────────────────────
+  # Shared pedigree table helpers
   ped_table <- function(rows) {
     shiny::tags$table(
       class = "table table-bordered table-sm",
@@ -76,48 +76,58 @@ help_content_ped_cleaner <- function(collapse_fn = NULL, id_prefix = "") {
               style = "font-weight: bold;"),
     shiny::p(
       "The Pedigree Cleaner automatically detects and corrects common pedigree issues.
-      Problems are fixed in place — the corrected pedigree and per-issue reports
+      Exact duplicates and missing parents are always corrected.
+      Conflicting trios and inconsistent sex roles are corrected when their
+      respective options are checked. Cycles and dependencies are reported only
+      and must be resolved manually. The corrected pedigree and per-issue reports
       are bundled into a single zip file for download.",
       style = "font-size: 13px;"
     ),
     shiny::hr(style = "margin: 8px 0;"),
     
-    # ── Steps ────────────────────────────────────────────────────────
+    # Steps
     shiny::h6(shiny::tagList(shiny::icon("list-ol"), " Steps"),
               style = "font-weight: bold;"),
     shiny::tags$ol(
       style = "font-size: 13px;",
       shiny::tags$li(shiny::HTML(
-        "<strong>Upload</strong> a tab-separated <code>.txt</code> or <code>.tsv</code>, or a comma-separated <code>.csv</code>,
+        "<strong>Upload</strong> a tab-separated .txt or .tsv, or a comma-separated .csv,
         file with three columns: <code>id</code>, <code>male_parent</code>, <code>female_parent</code>."
       )),
-      shiny::tags$li(shiny::HTML("<strong>Run Pedigree Check</strong> — scans for all five issue types below.")),
-      shiny::tags$li(shiny::HTML("<strong>Review</strong> the summary banner and expandable result tables.")),
-      shiny::tags$li(shiny::HTML("<strong>Export</strong> the corrected pedigree and reports as a <code>.zip</code> file."))
+      shiny::tags$li(shiny::HTML(
+        "<strong>Select correction options</strong> -- choose whether to correct conflicting trios
+        and/or inconsistent sex roles."
+      )),
+      shiny::tags$li(shiny::HTML("<strong>Run Pedigree Check</strong> -- scans for all five issue types below.")),
+      shiny::tags$li(shiny::HTML(
+        "<strong>Review</strong> the Run Summary panel on the right and the expandable result tables
+        in the Issue Tables tab."
+      )),
+      shiny::tags$li(shiny::HTML("<strong>Export</strong> the corrected pedigree and reports as a .zip file."))
     ),
     shiny::hr(style = "margin: 8px 0;"),
     
-    # ── Issue Types ──────────────────────────────────────────────────
+    # Issue Types
     shiny::h6(
-      shiny::tagList(shiny::icon("triangle-exclamation"), " Issue Types — What Is Detected & How It Is Corrected"),
+      shiny::tagList(shiny::icon("triangle-exclamation"), " Issue Types -- What Is Detected and How It Is Corrected"),
       style = "font-weight: bold;"
     ),
     shiny::p("Click each issue type to expand a before/after example.",
              style = "color: #6c757d; font-size: 12px; margin-bottom: 8px;"),
     
     collapse_fn(
-      panel_id     = pid("pc_help_exact_dup"),  # <-- prefixed
+      panel_id     = pid("pc_help_exact_dup"),
       icon_name    = "copy",
-      label        = "Exact Duplicates Removed",
+      label        = "Exact Duplicates Removed (always corrected)",
       body_content = shiny::tagList(
-        shiny::p("Fully identical rows are removed, keeping only one copy.",
+        shiny::p("Fully identical rows are removed, keeping only one copy. This is always applied.",
                  style = "margin-bottom: 6px;"),
         shiny::tags$strong("Before:"),
         ped_table(shiny::tagList(
           ped_row("A1", "B1", "C1"),
           ped_row("A1", "B1", "C1", bg = "#f8d7da")
         )),
-        shiny::p("The highlighted row is an exact copy — only one row will be kept.",
+        shiny::p("The highlighted row is an exact copy -- only one row will be kept.",
                  style = "color: #721c24; font-size: 11px; margin-bottom: 6px;"),
         shiny::tags$strong("After:"),
         ped_table(ped_row("A1", "B1", "C1"))
@@ -125,21 +135,22 @@ help_content_ped_cleaner <- function(collapse_fn = NULL, id_prefix = "") {
     ),
     
     collapse_fn(
-      panel_id     = pid("pc_help_conflict"),  # <-- prefixed
+      panel_id     = pid("pc_help_conflict"),
       icon_name    = "exclamation",
-      label        = "Conflicting IDs Resolved",
+      label        = "Conflicting Trios Resolved (corrected when option is checked)",
       body_content = shiny::tagList(
         shiny::p("The same individual ID appears with different parents.
-        When a conflict is detected the ambiguous parent is set to 0 (unknown).",
+        When correction is enabled, the ambiguous parent field is set to 0 (unknown)
+        and duplicate rows are collapsed to one.",
                  style = "margin-bottom: 6px;"),
         shiny::tags$strong("Before:"),
         ped_table(shiny::tagList(
           ped_row("A1", "B1", "C1"),
           ped_row("A1", "B2", "C1", bg = "#f8d7da")
         )),
-        shiny::p(shiny::HTML("<strong>A1</strong> has two different male parents (B1 and B2) — male_parent cannot be determined."),
+        shiny::p("A1 has two different male parents (B1 and B2) -- male_parent cannot be determined.",
                  style = "color: #856404; font-size: 11px; margin-bottom: 6px;"),
-        shiny::tags$strong("After:"),
+        shiny::tags$strong("After (correct conflicting trios = TRUE):"),
         ped_table(ped_row("A1", "0", "C1", bg = "#fff3cd")),
         shiny::p("The conflicting male_parent is set to 0 (unknown). female_parent is unchanged since it was consistent.",
                  style = "color: #856404; font-size: 11px;")
@@ -147,33 +158,43 @@ help_content_ped_cleaner <- function(collapse_fn = NULL, id_prefix = "") {
     ),
     
     collapse_fn(
-      panel_id     = pid("pc_help_messy"),  # <-- prefixed
+      panel_id     = pid("pc_help_messy"),
       icon_name    = "shuffle",
-      label        = "Inconsistent Parent Sex Roles",
+      label        = "Inconsistent Sex Roles (corrected when option is checked)",
       body_content = shiny::tagList(
         shiny::p("An individual appears in the male_parent column in one record and the female_parent
-        column in another, indicating an inconsistent sex/role assignment across the pedigree.",
+        column in another, indicating an inconsistent sex/role assignment across the pedigree.
+        When correction is enabled, the parent fields referencing that individual are set to 0
+        and any resulting exact duplicates are removed.",
                  style = "margin-bottom: 6px;"),
         shiny::tags$strong("Before:"),
         ped_table(shiny::tagList(
           ped_row("A1", "B1", "C1"),
           ped_row("A2", "C1", "B1", bg = "#f8d7da")
         )),
-        shiny::p(shiny::HTML("<strong>B1</strong> and <strong>C1</strong> swap male_parent/female_parent roles across records — flagged for review."),
+        shiny::p("B1 and C1 swap male_parent/female_parent roles across records -- flagged for review.",
+                 style = "color: #856404; font-size: 11px; margin-bottom: 6px;"),
+        shiny::tags$strong("After (correct inconsistent sex roles = TRUE):"),
+        ped_table(shiny::tagList(
+          ped_row("A1", "0", "0", bg = "#fff3cd"),
+          ped_row("A2", "0", "0", bg = "#fff3cd")
+        )),
+        shiny::p("Parent fields referencing conflicting IDs are set to 0. Exact duplicates resulting from this correction are removed.",
                  style = "color: #856404; font-size: 11px;")
       )
     ),
     
     collapse_fn(
-      panel_id     = pid("pc_help_missing"),  # <-- prefixed
+      panel_id     = pid("pc_help_missing"),
       icon_name    = "user-plus",
-      label        = "Missing Parents Added",
+      label        = "Missing Parents Added (always corrected)",
       body_content = shiny::tagList(
-        shiny::p("A parent is referenced in the male_parent or female_parent column but never appears as an individual.",
+        shiny::p("A parent is referenced in the male_parent or female_parent column but never appears as an individual.
+        Missing parents are always added as founders with unknown parents (0).",
                  style = "margin-bottom: 6px;"),
         shiny::tags$strong("Before:"),
         ped_table(ped_row("A1", "B1", "C1")),
-        shiny::p(shiny::HTML("<strong>B1</strong> and <strong>C1</strong> are referenced but have no row of their own — missing parents are added automatically with unknown parents (0)."),
+        shiny::p("B1 and C1 are referenced but have no row of their own.",
                  style = "color: #0c5460; font-size: 11px; margin-bottom: 6px;"),
         shiny::tags$strong("After:"),
         ped_table(shiny::tagList(
@@ -185,35 +206,35 @@ help_content_ped_cleaner <- function(collapse_fn = NULL, id_prefix = "") {
     ),
     
     collapse_fn(
-      panel_id     = pid("pc_help_cycles"),  # <-- prefixed
+      panel_id     = pid("pc_help_cycles"),
       icon_name    = "rotate",
-      label        = "Cycles / Dependencies Detected",
+      label        = "Cycles / Dependencies Detected (reported only -- must be resolved manually)",
       body_content = shiny::tagList(
-        shiny::p("An animal appears as its own ancestor, creating a circular relationship. These are detected and flagged.",
+        shiny::p("An animal appears as its own ancestor, creating a circular relationship.
+        These are detected and reported but are never automatically corrected -- they must be resolved manually.",
                  style = "margin-bottom: 6px;"),
         shiny::tags$strong("Example:"),
         ped_table(shiny::tagList(
           ped_row("A1", "B1", "C1"),
           ped_row("B1", "A1", "C2", bg = "#f8d7da")
         )),
-        shiny::p(shiny::HTML("<strong>A1</strong> is listed as the male_parent of <strong>B1</strong>, but <strong>B1</strong>
-        is also listed as the male_parent of <strong>A1</strong> — flagged for review."),
+        shiny::p("A1 is listed as the male_parent of B1, but B1 is also listed as the male_parent of A1 -- flagged for manual review.",
                  style = "color: #721c24; font-size: 11px;")
       )
     ),
     
     shiny::hr(style = "margin: 8px 0;"),
     
-    # ── Export Contents ──────────────────────────────────────────────
+    # Export Contents
     shiny::h6(shiny::tagList(shiny::icon("download"), " Export Contents"),
               style = "font-weight: bold;"),
     shiny::tags$ul(
       style = "font-size: 13px;",
-      shiny::tags$li(shiny::HTML("<code>corrected_pedigree.txt</code> — the cleaned pedigree, tab-separated.")),
-      shiny::tags$li(shiny::HTML("One <code>.txt</code> report per issue type (only included if issues were found):
-      <code>exact_duplicates.txt</code>, <code>conflicting_ids.txt</code>,
-      <code>inconsistent_sex_roles.txt</code>, <code>missing_parents.txt</code>,
-      <code>dependencies.txt</code>."))
+      shiny::tags$li(shiny::HTML("<code>corrected_pedigree.txt</code> -- the cleaned pedigree, tab-separated.")),
+      shiny::tags$li(shiny::HTML("One .txt report per issue type (only included if issues were found):
+        <code>exact_duplicates.txt</code>, <code>conflicting_trios.txt</code>,
+        <code>inconsistent_sex_roles.txt</code>, <code>missing_parents.txt</code>,
+        <code>dependencies.txt</code>."))
     )
   )
 }
\ No newline at end of file
diff --git a/R/mod_SNMF.R b/R/mod_SNMF.R
index ca5b6eb..04d090a 100644
--- a/R/mod_SNMF.R
+++ b/R/mod_SNMF.R
@@ -149,7 +149,7 @@ mod_SNMF_ui <- function(id) {
         bs4Dash::box(
           title       = "Plot Controls",
           width       = 12,
-          status      = "warning",
+          status      = "info",
           solidHeader = TRUE,
           collapsible = TRUE,
           shiny::uiOutput(ns("snmf_selectors_ui")),
diff --git a/R/mod_ped_cleaner.R b/R/mod_ped_cleaner.R
index b747284..4272319 100644
--- a/R/mod_ped_cleaner.R
+++ b/R/mod_ped_cleaner.R
@@ -1,3 +1,35 @@
+# Helpers
+make_collapse_panel <- function(panel_id, icon_name, label, body_content) {
+  shiny::tags$div(
+    class = "card mb-1",
+    style = "border: 1px solid #dee2e6; border-radius: 4px;",
+    shiny::tags$div(
+      class = "card-header p-0",
+      style = "background-color: #f8f9fa;",
+      shiny::tags$button(
+        class           = "btn btn-link btn-sm w-100 text-left d-flex align-items-center",
+        style           = "color: #343a40; text-decoration: none; font-size: 13px; padding: 8px 12px; gap: 6px;",
+        `data-toggle`   = "collapse",
+        `data-target`   = paste0("#", panel_id),
+        `aria-expanded` = "false",
+        shiny::icon(icon_name),
+        shiny::tags$span(label)
+      )
+    ),
+    shiny::tags$div(
+      id    = panel_id,
+      class = "collapse",
+      shiny::tags$div(
+        class = "card-body",
+        style = "padding: 12px 14px; font-size: 13px;",
+        body_content
+      )
+    )
+  )
+}
+
+sanitize_id <- function(x) gsub("[^A-Za-z0-9]", "_", tolower(x))
+
 #' Pedigree Cleaner module UI
 #'
 #' @param id Module id
@@ -28,6 +60,22 @@ mod_ped_cleaner_ui <- function(id) {
             "Upload Pedigree File",
             accept = c(".txt", ".tsv", ".csv")
           ),
+          shiny::hr(),
+          shiny::p(
+            "Correction options:",
+            style = "color: #6c757d; font-size: 12px; margin-bottom: 5px;"
+          ),
+          shiny::checkboxInput(
+            ns("correct_conflicting_trios"),
+            "Correct conflicting trios",
+            value = TRUE
+          ),
+          shiny::checkboxInput(
+            ns("correct_inconsistent_sex_roles"),
+            "Correct inconsistent sex roles",
+            value = TRUE
+          ),
+          shiny::hr(),
           shiny::actionButton(
             ns("run_check"),
             "Run Pedigree Check",
@@ -73,26 +121,22 @@ mod_ped_cleaner_ui <- function(id) {
                   <ul>
                     <li>Upload a tab-separated <code>.txt</code> or <code>.tsv</code> pedigree file, or a comma-separated <code>.csv</code> pedigree file.</li>
                     <li>Required columns: <code>id</code>, <code>male_parent</code>, <code>female_parent</code>.</li>
-                    <li>Click <strong>Run Pedigree Check</strong> to detect issues.</li>
+                    <li>Select correction options, then click <strong>Run Pedigree Check</strong> to detect issues.</li>
+                    <li>A run summary will appear in the panel on the right after the check completes.</li>
                     <li>Issues detected:</li>
                     <ul>
-                      <li><strong>Exact Duplicates</strong> — fully identical rows are removed.</li>
-                      <li><strong>Conflicting IDs</strong> — same ID with different parents; ambiguous parent set to 0.</li>
-                      <li><strong>Inconsistent Sex Roles</strong> — individual appears as both male and female parent.</li>
-                      <li><strong>Missing Parents</strong> — referenced parents added with unknown parents (0).</li>
-                      <li><strong>Cycles / Dependencies</strong> — circular relationships are flagged.</li>
+                      <li><strong>Exact Duplicates</strong> — fully identical rows are always removed.</li>
+                      <li><strong>Conflicting Trios</strong> — same ID with different parents; corrected when option is checked.</li>
+                      <li><strong>Inconsistent Sex Roles</strong> — individual appears as both male and female parent; corrected when option is checked.</li>
+                      <li><strong>Missing Parents</strong> — referenced parents always added with unknown parents (0).</li>
+                      <li><strong>Cycles / Dependencies</strong> — circular relationships are flagged and must be resolved manually.</li>
                     </ul>
-                    <li>Review results in the <strong>Summary</strong> and <strong>Issue Tables</strong> tabs, then export.</li>
+                    <li>Review results in the <strong>Issue Tables</strong> tab, then export.</li>
                   </ul>
                 ')))
               ),
               style = "overflow-y: auto; height: 550px"
             ),
-            shiny::tabPanel(
-              "Summary",
-              shiny::uiOutput(ns("summary_banner")),
-              style = "overflow-y: auto; height: 550px; padding: 10px;"
-            ),
             shiny::tabPanel(
               "Issue Tables",
               shiny::uiOutput(ns("results_ui")),
@@ -102,7 +146,7 @@ mod_ped_cleaner_ui <- function(id) {
         )  # closes box
       ),  # closes column(width = 6)
       
-      # Column 3: Status
+      # Column 3: Status + Summary
       shiny::column(
         width = 3,
         bs4Dash::box(
@@ -110,7 +154,6 @@ mod_ped_cleaner_ui <- function(id) {
           width       = 12,
           collapsible = TRUE,
           status      = "info",
-          solidHeader = TRUE,
           shinyWidgets::progressBar(
             id          = ns("pb_ped"),
             value       = 0,
@@ -119,6 +162,15 @@ mod_ped_cleaner_ui <- function(id) {
             striped     = TRUE,
             title       = " "
           )
+        ),
+        bs4Dash::box(
+          title       = "Run Summary",
+          width       = 12,
+          collapsible = TRUE,
+          collapsed   = FALSE,
+          status      = "info",
+          solidHeader = TRUE,
+          shiny::uiOutput(ns("summary_banner"))
         )
       )  # closes column(width = 3)
     )  # closes fluidRow
@@ -191,7 +243,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
         shinyWidgets::updateProgressBar(
           session = session, id = "pb_ped",
           value = 50, status = "info",
-          title = "Checking for conflicting IDs and inconsistent parent sex roles..."
+          title = "Checking for conflicting trios and inconsistent sex roles..."
         )
         shinyWidgets::updateProgressBar(
           session = session, id = "pb_ped",
@@ -210,20 +262,22 @@ mod_ped_cleaner_server <- function(id, parent_session) {
                     sep = "\t", row.names = FALSE, quote = FALSE)
         
         report <- BIGr::check_ped(
-          ped.file = tmp_ped_path,
-          verbose  = FALSE,
-          save_zip = FALSE
+          ped.file                       = tmp_ped_path,
+          verbose                        = FALSE,
+          correct_conflicting_trios      = input$correct_conflicting_trios,
+          correct_inconsistent_sex_roles = input$correct_inconsistent_sex_roles
         )
         
-        # Use corrected_pedigree — the field returned by the latest check_ped [7]
         corrected_ped <- tryCatch(
           report$corrected_pedigree,
           error = function(e) NULL
         )
         
         check_results(list(
-          report        = report,
-          corrected_ped = corrected_ped
+          report                         = report,
+          corrected_ped                  = corrected_ped,
+          correct_conflicting_trios      = input$correct_conflicting_trios,
+          correct_inconsistent_sex_roles = input$correct_inconsistent_sex_roles
         ))
         
         shinyWidgets::updateProgressBar(
@@ -233,7 +287,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
         )
         shinyjs::enable("download_results")
         
-        shiny::updateTabsetPanel(session, "ped_results_tabs", selected = "Summary")
+        shiny::updateTabsetPanel(session, "ped_results_tabs", selected = "Issue Tables")
         
       }, error = function(e) {
         shinyWidgets::updateProgressBar(
@@ -247,11 +301,13 @@ mod_ped_cleaner_server <- function(id, parent_session) {
     # Summary banner
     output$summary_banner <- shiny::renderUI({
       shiny::req(check_results())
-      report <- check_results()$report
+      report     <- check_results()$report
+      do_trios   <- check_results()$correct_conflicting_trios
+      do_sex     <- check_results()$correct_inconsistent_sex_roles
       
       get_count <- function(df) if (is.null(df) || !is.data.frame(df)) 0L else nrow(df)
       n_dupes    <- get_count(report$exact_duplicates)
-      n_conflict <- get_count(report$repeated_ids_diff)
+      n_conflict <- get_count(report$conflicting_trios)
       n_messy    <- get_count(report$inconsistent_sex_roles)
       n_missing  <- get_count(report$missing_parents)
       n_cycles   <- get_count(report$dependencies)
@@ -263,6 +319,17 @@ mod_ped_cleaner_server <- function(id, parent_session) {
       headline     <- if (total == 0) "No issues found. Pedigree looks clean!" else
         paste0(total, " issue(s) detected. Review the Issue Tables tab.")
       
+      # Build correction status message based on checkbox state [4]
+      correction_msg <- if (do_trios && do_sex) {
+        "Exact duplicates and missing parents always corrected. Conflicting trios and inconsistent sex roles will also be corrected for this run (check help for details)."
+      } else if (do_trios && !do_sex) {
+        "Exact duplicates and missing parents always corrected. Only conflicting trios will also be corrected for this run (check help for details)."
+      } else if (!do_trios && do_sex) {
+        "Exact duplicates and missing parents always corrected. Only inconsistent sex roles will also be corrected for this run (check help for details)."
+      } else {
+        "Only exact duplicates and missing parents will be corrected for this run (check help for details)."
+      }
+      
       shiny::HTML(paste0(
         "<div style='background-color:", banner_color, "; border: 1px solid ", border_color,
         "; padding: 12px; border-radius: 6px; margin-bottom: 12px;'>",
@@ -270,10 +337,13 @@ mod_ped_cleaner_server <- function(id, parent_session) {
         headline, "</p>",
         "<p style='color:", text_color, "; margin: 6px 0 0 0; font-size: 12px;'>",
         "- Exact duplicates removed: <strong>", n_dupes, "</strong> &nbsp;",
-        "- Conflicting IDs resolved: <strong>", n_conflict, "</strong> &nbsp;",
-        "- Inconsistent parent sex roles flagged: <strong>", n_messy, "</strong> &nbsp;",
+        "- Conflicting trios resolved: <strong>", n_conflict, "</strong> &nbsp;",
+        "- Inconsistent sex roles flagged: <strong>", n_messy, "</strong> &nbsp;",
         "- Missing parents added: <strong>", n_missing, "</strong> &nbsp;",
         "- Cycles detected: <strong>", n_cycles, "</strong>",
+        "</p>",
+        "<p style='color:", text_color, "; margin: 8px 0 0 0; font-size: 11px; font-style: italic;'>",
+        correction_msg,
         "</p></div>"
       ))
     })
@@ -323,21 +393,21 @@ mod_ped_cleaner_server <- function(id, parent_session) {
       }
       
       render_if("Exact Duplicates Removed",       report$exact_duplicates)
-      render_if("Conflicting IDs Resolved",       report$repeated_ids_diff)
-      render_if("Inconsistent Parent Sex Roles",  report$inconsistent_sex_roles)
-      render_if("Missing Parents Added",          report$missing_parents)
-      render_if("Cycles / Dependencies Detected", report$dependencies)
+      render_if("Conflicting Trios Resolved",      report$conflicting_trios)
+      render_if("Inconsistent Sex Roles",          report$inconsistent_sex_roles)
+      render_if("Missing Parents Added",           report$missing_parents)
+      render_if("Cycles / Dependencies Detected",  report$dependencies)
       
       shiny::tagList(
         shiny::h5(
           shiny::tagList(shiny::icon("list-check"), " Check Results"),
           style = "font-weight: bold; margin-bottom: 10px;"
         ),
-        make_section("Exact Duplicates Removed",       "copy",        report$exact_duplicates,  "#6c757d"),
-        make_section("Conflicting IDs Resolved",       "exclamation", report$repeated_ids_diff, "#856404"),
-        make_section("Inconsistent Parent Sex Roles",  "shuffle",     report$inconsistent_sex_roles,     "#856404"),
-        make_section("Missing Parents Added",          "user-plus",   report$missing_parents,   "#0c5460"),
-        make_section("Cycles / Dependencies Detected", "rotate",      report$dependencies,      "#721c24")
+        make_section("Exact Duplicates Removed",      "copy",        report$exact_duplicates,       "#6c757d"),
+        make_section("Conflicting Trios Resolved",     "exclamation", report$conflicting_trios,      "#856404"),
+        make_section("Inconsistent Sex Roles",         "shuffle",     report$inconsistent_sex_roles, "#856404"),
+        make_section("Missing Parents Added",          "user-plus",   report$missing_parents,        "#0c5460"),
+        make_section("Cycles / Dependencies Detected", "rotate",      report$dependencies,           "#721c24")
       )
     })
     
@@ -362,7 +432,7 @@ mod_ped_cleaner_server <- function(id, parent_session) {
         
         sections <- list(
           exact_duplicates       = report$exact_duplicates,
-          conflicting_ids        = report$repeated_ids_diff,
+          conflicting_trios      = report$conflicting_trios,
           inconsistent_sex_roles = report$inconsistent_sex_roles,
           missing_parents        = report$missing_parents,
           dependencies           = report$dependencies
@@ -385,36 +455,4 @@ mod_ped_cleaner_server <- function(id, parent_session) {
     )
     
   })
-}
-
-# Helpers
-make_collapse_panel <- function(panel_id, icon_name, label, body_content) {
-  shiny::tags$div(
-    class = "card mb-1",
-    style = "border: 1px solid #dee2e6; border-radius: 4px;",
-    shiny::tags$div(
-      class = "card-header p-0",
-      style = "background-color: #f8f9fa;",
-      shiny::tags$button(
-        class           = "btn btn-link btn-sm w-100 text-left d-flex align-items-center",
-        style           = "color: #343a40; text-decoration: none; font-size: 13px; padding: 8px 12px; gap: 6px;",
-        `data-toggle`   = "collapse",
-        `data-target`   = paste0("#", panel_id),
-        `aria-expanded` = "false",
-        shiny::icon(icon_name),
-        shiny::tags$span(label)
-      )
-    ),
-    shiny::tags$div(
-      id    = panel_id,
-      class = "collapse",
-      shiny::tags$div(
-        class = "card-body",
-        style = "padding: 12px 14px; font-size: 13px;",
-        body_content
-      )
-    )
-  )
-}
-
-sanitize_id <- function(x) gsub("[^A-Za-z0-9]", "_", tolower(x))
\ No newline at end of file
+}
\ No newline at end of file
diff --git a/R/mod_polybreedtools.R b/R/mod_polybreedtools.R
index 21196d0..bd3bfa3 100644
--- a/R/mod_polybreedtools.R
+++ b/R/mod_polybreedtools.R
@@ -112,13 +112,12 @@ mod_polybreedtools_ui <- function(id) {
           width       = 12,
           collapsible = TRUE,
           status      = "info",
-          solidHeader = TRUE,
           shiny::verbatimTextOutput(ns("status"))
         ),
         box(
           title       = "Plot Controls",
           width       = 12,
-          status      = "warning",
+          status      = "info",
           solidHeader = TRUE,
           collapsible = TRUE,
           selectInput(ns("color_choice"), "Color Palette",

From 9242bda3e33bf87adf5e3419dd0dcb07dec91a2a Mon Sep 17 00:00:00 2001
From: "josue.chinchilla" <josue.chinchilla@IFASadmins-MacBook-Pro.local>
Date: Thu, 21 May 2026 13:30:08 -0400
Subject: [PATCH 26/26] implemented final minor edits

---
 R/mod_SNMF.R           | 2 +-
 R/mod_ped_cleaner.R    | 4 ++--
 R/mod_polybreedtools.R | 1 -
 3 files changed, 3 insertions(+), 4 deletions(-)

diff --git a/R/mod_SNMF.R b/R/mod_SNMF.R
index 04d090a..f562a62 100644
--- a/R/mod_SNMF.R
+++ b/R/mod_SNMF.R
@@ -449,7 +449,7 @@ mod_SNMF_server <- function(input, output, session, parent_session) {
       long$ID <- factor(long$ID, levels = unique(df$ID))
     }
 
-    #  Palette fix: brewer pallete allows up to 9 colors but we need 10
+    #  Palette fix: brewer palete allows up to 9 colors but we need 10
     palette_name <- input$snmf_color_choice %||% "Set1"
     palette_info <- RColorBrewer::brewer.pal.info[palette_name, , drop = FALSE]
     max_colors   <- palette_info$maxcolors[[1]]
diff --git a/R/mod_ped_cleaner.R b/R/mod_ped_cleaner.R
index 4272319..9d920be 100644
--- a/R/mod_ped_cleaner.R
+++ b/R/mod_ped_cleaner.R
@@ -337,8 +337,8 @@ mod_ped_cleaner_server <- function(id, parent_session) {
         headline, "</p>",
         "<p style='color:", text_color, "; margin: 6px 0 0 0; font-size: 12px;'>",
         "- Exact duplicates removed: <strong>", n_dupes, "</strong> &nbsp;",
-        "- Conflicting trios resolved: <strong>", n_conflict, "</strong> &nbsp;",
-        "- Inconsistent sex roles flagged: <strong>", n_messy, "</strong> &nbsp;",
+        "- Conflicting trios detected/resolved: <strong>", n_conflict, "</strong> &nbsp;",
+        "- Inconsistent sex roles detected/resolved: <strong>", n_messy, "</strong> &nbsp;",
         "- Missing parents added: <strong>", n_missing, "</strong> &nbsp;",
         "- Cycles detected: <strong>", n_cycles, "</strong>",
         "</p>",
diff --git a/R/mod_polybreedtools.R b/R/mod_polybreedtools.R
index bd3bfa3..ed601ff 100644
--- a/R/mod_polybreedtools.R
+++ b/R/mod_polybreedtools.R
@@ -334,7 +334,6 @@ mod_polybreedtools_server <- function(input, output, session, parent_session) {
     })
   })
   #  Ancestry plot
-  #  Ancestry plot
   ancestry_plot <- reactive({
     req(poly_items$pred_results_long, poly_items$id_order)
     dat <- poly_items$pred_results_long