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ATTENTION This is an experimental test of The Carpentries Workbench lesson infrastructure. It was automatically converted from the source lesson via the lesson transition script.

If anything seems off, please contact Zhian Kamvar zkamvar@carpentries.org

Introduction to genomic data analysis with R and Bioconductor

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Contributing

We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.

We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the more detailed guidelines on proper formatting, ways to render the lesson locally, and even how to write new episodes.

Please see the current list of [issues][FIXME] for ideas for contributing to this repository. For making your contribution, we use the GitHub flow, which is nicely explained in the chapter Contributing to a Project in Pro Git by Scott Chacon.

Look for the tag good_first_issue. This indicates that the maintainers will welcome a pull request fixing this issue.

Useful links

Maintainer(s)

Current authors/maintainers of this lesson are

  • Laurent Gatto
  • Charlotte Soneson
  • Jenny Drnevich
  • Robert Castelo
  • Kevin Rue-Albert

We would also like to acknowledge the contributions of:

  • Oliver Crook, Sarah Kaspar, Nick Hirschmueller, Lisa Breckels and Maria Doyle for their contributions during the Bioconductor introduction workshop in Heidelberg, as part of EuroBioc2021 |> 2022.
  • Axelle Loriot, Marco Chiapelle, Manon Martin and Toby Hodges for various contributions and discussions.
  • lmsimp, alorot, manonmartin, mchiapello, stavares843, JennyZadeh, csdaw, ninja-1337, fursham-h, lagerratrobe, fmichonneau, federicomarini, tobyhodges for pull requests.

If we have contributed but we missed you, apologies, and feel free to add yourself with a PR.

Authors

A list of contributors to the lesson can be found in AUTHORS

Citation

To cite this lesson, please consult with CITATION