How-to

You ran DESeq2 and got your list of differentially expressed genes. Now what? Here is how to use clusterProfiler to find out which biological pathways are actually changing in your experiment — with real code, real output, and real plots.

You already know R. Do you need Python too? An honest answer — plus a practical guide to getting your first Python environment running and your first biological data analyzed.

You don’t need a PhD in computational biology to catch a flawed bioinformatics analysis. These six checks — from public data availability to honest figure design — will let you review computational work with the same rigor you bring to a Western blot.

An overview and comparison of laboratory methods for finding CRISPR off-target editing. We compare GUIDE-seq, CIRCLE-seq, Digenome-seq, and DISCOVER-seq to help you choose the right validation tool.

An honest head-to-head comparison of DESeq2 and edgeR. Learn the differences in their normalization, statistical tests, and run-times, and see if they actually give different biological answers.