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Code and data repo

This repository contains the code and filtered data accompanying the paper "The somatic mutation landscape of normal gastric epithelium", currently available on bioRxiv.

For any queries, raise an issue on the GitHub page or email Tim Coorens (tcoorens@broadinstitute.org).

Data

The folder Sequoia_output contains the filtered depth and variant depth output matrices from Sequoia ("_NR_filtered_all.txt" and "_NV_filtered_all.txt", respectively), tree files ("_tree_with_branch_length.tree") and mutation mapping to trees ("_assigned_to_branches.txt") for the WGS data of all donors, for both somatic SNVs and indels. Other data necessary for reproducibility can be found in the copy of the Extended Data Tables (Extended_Data_Table_1_7_R1_final.xlsx).

The folder HDP_signatures contains the extracted indel and SNV signatures.

Scripts

"Mutation_burden_analyses.R" contains the code to generate Figure 1, Extended Data Figure 1 and Figure 2, along with all statistical tests in the section "Mutation rates of normal gastric epithelium".

"Signature_analyses.R" contains the code to generate Figure 3 and Extended Data Figures 5-6, along with all statistical tests in the section "Mutational signatures and processes in normal gastric epithelium".

"CNV_SV_analyses.R" contains the code to generate Figure 4 and Extended Data Figures 7-8, along with all statistical tests in the section "Recurrent trisomies in normal gastric glands".

"Driver_analyses.R" contains the code to generate Figure 5 and Extended Data Figure 9, along with all statistical tests in the section "Driver mutations in normal gastric glands"

System requirements

All code has been run using R (v4.3.1) and will run on the provided input files. Note that R packages loaded in individual scripts need to installed prior to use. R packages include lmerTest, readxl, vioplot, ape, ggtree, dndscv, and HDP.

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