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This crash course walks you through RNA-seq data analysis in R: From raw count matrices to functional interpretation of differentially expressed genes.
Contributors
Isabel Duarte Isabel Duarte
RNA-seq Transcriptomics Next generation sequencing R
Days since last push
184
License
cc-by-sa-4.0

About

Glittr.org is a curated list of educational material for the computational life sciences.

All material is:

  • In a GitHub or GitLab repository
  • Free to use
  • Written in markdown or similar

If you want to cite or know more about Glittr.org, check out our paper in PLOS ONE!

NOTE: This list of courses is selected only based on the above criteria.
There are no checks on quality. In case there is no license associated with the repository, copyright belongs to the author, and you cannot copy or modify it for any reason other than personal use.

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Developed, maintained and curated by:
Geert van Geest
Patricia Palagi
Yann Haefliger

Data last updated: 2026-10-02 01:17:47

Swiss Institute of Bioinformatics

Initiative of the the SIB Training Group.
Interested in SIB courses? Visit our website.

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