NGS Analysis Club & RIGeL Bioinformatics Interest Group present: Favorite R and Python Packages 2024

Welcome to the repository where we discuss our favorite R and Python packages. This is a collaborative space for sharing useful packages, code examples, and documentation.

Explore the packages

Use the Navigation Bar to go to a site discussing a particular package. Due to technical limitations, to return to this page, you will ahve to use the “go back one page” function of your browser.

How to Contribute

  1. Add Your Favorite Packages:
    • For R packages, create a new folder in the repository named after the package (e.g., ggplot2).
    • For Python packages, do the same in a separate Python-specific directory.
    • Include scripts, examples, and documentation showcasing how to use the package.
  2. Update the Excel File:
    • Add your preferred R/Python packages to the collaborative Excel file here.
    • This file helps us keep track of contributions and avoid duplicates.

Excel File for Submissions

Please list your favorite packages in the Excel file:

Excel File for Project Ideas

Getting Started

  1. Clone the repository:

    git clone https://git.uni-regensburg.de/big/big_ngs_favorite_r_python_2024.git

  2. Create your package directory and add content.

  3. Commit your changes:

    git add .
git commit -m "Add <package_name> package"
git push origin main

  4. Optional: Add your rendered Script to the website by adding it to the _quarto.yml file “navbar”, and then rendering the index.qmd file using quarto. Then commit and push both files as seen in step 3.

Contact

For questions or suggestions, please reach out to Bernd Daller