vanheeringen-lab / seq2science

Automated and customizable preprocessing of Next-Generation Sequencing data, including full (sc)ATAC-seq, ChIP-seq, and (sc)RNA-seq workflows. Works equally easy with public as local data.
https://vanheeringen-lab.github.io/seq2science
MIT License
155 stars 27 forks source link

todo #926

Closed Rebecza closed 1 year ago

Rebecza commented 1 year ago

What problem is the PR solving / What's new? A description of the problem that is being solved, or which new feature is implemented. Please link to other relevant issues/pr if relevant

What did change Explain clearly and concisely what you changed. Why did you take certain design decisions?

Checklist

Rebecza commented 1 year ago

Do not look at the position of to do-comment in first commit: should've been computeMatrix_gene (instead of computeMatrix_peaks).

Latest commit: Now generates a plotProfile_gene of reads distribution around the gene like this: afbeelding

Rebecza commented 1 year ago

🎉