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@glycoverse

glycoverse

A modern glycomics and glycoproteomics data analysis framework in R.

glycoverse

Welcome to glycoverse!

The glycoverse is a set of packages that together form a comprehensive pipeline for glycomics and glycoproteomics data analysis. It can help you with:

  • 📦 Out-of-box data analysis pipeline (glysmith)
  • 🧹 Data management, cleaning, and preprocessing (glyexp | glyread | glyclean)
  • 📊 Statistical analysis and visualization (glystats | glyvis)
  • 🧬 Glycan structure parsing and drawing (glyrepr | glyparse | glydraw)
  • 🔎 Glycan structural regular expression matching (glyrex)
  • 🔬 Advanced glycan motif or derived trait analysis (glymotif | glydet)
  • 🏭 Glycan biosynthesis and function inspection (glyenzy | glyfun)
  • 🗂️ Database and glycan annotation (glydb | glyanno)
  • 📚 Curated public glycomics and glycoproteomics datasets (glyhub)

To start with, please check out the installation guide, then one of the case studies:

After that, feel free to check out the Get Started with xxx vignettes of the packages you're interested in. glyexp and glyrepr are good places to start with.

If you are using coding agents like Claude Code, Codex, or Cursor, try glycoverse.skill.

Also, please check out the glycoverse-shiny app for some featured tasks.

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  1. glycoverse glycoverse Public

    Easy Install and Load the `Glycoverse`

    R 5 3

  2. glycoverse-shiny glycoverse-shiny Public

    Interactive Glycoverse Shiny workspace for glycan building, format conversion, SNFG drawing, biosynthesis networks, and annotation.

    R

  3. glycoverse.skill glycoverse.skill Public

    A coding agent skill for using glycoverse.

  4. glycoverse-tutorial glycoverse-tutorial Public

    End-to-end glycomics and glycoproteomics tutorials for Glycoverse

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