ProtPipe2/index.html at main · NIH-CARD/ProtPipe2 · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
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    <meta name="google-site-verification" content="nghiexFjTa26waESKRPz-_bYzG6zfJ5JRlQP0kVDAb4" />

    <title>ProtPipe2: Proteomics Analysis Tool</title>
    <meta name="description" content="ProtPipe is a web-based tool for protein data analysis and visualization. Built with R Shiny for researchers and bioinformaticians with our backend R package also available.">
    <meta name="keywords" content="ProtPipe, ProtPipe2, Protein Analysis, Bioinformatics, R Shiny, Proteomics, Data Visualization, Pipeline">
    <meta name="author" content="Niacard">

    <meta property="og:title" content="ProtPipe Analysis Tool">
    <meta property="og:description" content="Free online tool for protein pipeline analysis and visualization.">
    <meta property="og:url" content="https://your-username.github.io/ProtPipe-Landing/">
    <meta property="og:type" content="website">

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<body>

    <header>
        <h1>ProtPipe2</h1>
        <p>Advanced Proteomic Analysis & Visualization</p>
    </header>

    <div class="container">
        <div class="content-section" style="text-align: center;">
            <h2>Welcome to ProtPipe</h2>
            <div style="margin-top: 20px;">
            <a href="https://niacard.shinyapps.io/ProtPipe_shiny/" class="cta-button" target="_blank">
                Launch App 🚀
            </a>

            <a href="docs/index.html" class="cta-button" style="background-color: #2c3e50; margin-left: 10px;">
                Read the Docs 📖
            </a>
</div>
        </div>

        <hr style="border: 0; border-top: 1px solid #eee;">

        <div class="content-section">
            <h3>Key Features</h3>
            <div class="features">
                <div class="feature-box">
                    <h4>📊 Data Visualization</h4>
                    <p>Interactive heatmaps, volcano plots, and PCA plots designed for exploring complex protein datasets.</p>
                </div>
                <div class="feature-box">
                    <h4>🧬 Pipeline Processing</h4>
                    <p>Automated workflows for normalization, imputation, and statistical testing.</p>
                </div>
                <div class="feature-box">
                    <h4>📂 Export Results</h4>
                    <p>Download your processed data and figures directly for use in presentations and papers.</p>
                </div>
            </div>
        </div>
    </div>

    <footer>
        <p>ProtPipe is built with R Shiny. <br> Maintained by Jacob Epstein.</p>
    </footer>

</body>
</html>