The ProgRNA blog

Two flagship pseudo-alignment quantifiers for RNA-Seq compared on speed, accuracy, and the small but meaningful differences that matter downstream.

A concise Seurat v5 workflow for droplet single-cell RNA-Seq — QC, normalization, integration, clustering, and marker discovery — with the flags that matter.

A practical, benchmark-informed comparison of STAR and HISAT2 for short-read RNA-Seq alignment — accuracy, memory, speed, splice discovery, and when to prefer each.

A rigorous walkthrough of the DESeq2 workflow: count matrix prep, dispersion estimation, LFC shrinkage, batch correction, and pitfalls that get past most tutorials.

A hands-on, reproducible guide to a modern bulk RNA-Seq pipeline — from raw FASTQ files through QC, trimming, alignment, quantification, and differential expression.