The ProgRNA blog

An honest comparison of R and Python for bioinformatics work — where each dominates, where they overlap, and a pragmatic recommendation for people starting out.

The Python stack that actually gets used in production bioinformatics — Biopython, pysam, pandas, scanpy, snakemake, and the environments and tooling that hold it all together.