This is a test version of Biostars. For the public version, visit https://www.biostars.org.
Forum: Will anyone want to use a PyDESeq2-based platform? How to improve my platform

I am developing an open-source platform that uses PyDESeq2 to perform differential expression analysis from raw count matrices and generate volcano plots.

Beyond volcano plot visualization, what species-agnostic downstream analysis features would be most valuable to include for deeper biological interpretation, assuming only raw counts and minimal or optional gene annotations are available?

https://github.com/chuang-DH/deg-volcano-platform https://deg-volcano-platform-6htpr5ugnf8ygqcwarfbe2.streamlit.app/

rna-seq pydeseq2 volcano plot

A volcano plot has almost no biological meaning - it is more of a QC plot that informs on the distribution of p-values and fold changes, in the end it is only useful it the data looks bad, in which case there results are suspect as well.

Overall your approach feels a bit backwards, a solution is looking for problems. You should approach it from the other perspective - have a problem, solve it, then look at generalizing it.

0 answers

No answers yet.

Log in to answer this question.