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Your qPCR run is done and you have a column of Ct values. Here is how to turn them into fold changes with the ΔΔCt method, worked by hand, in a spreadsheet and in R, plus the mistakes that get qPCR figures sent back by reviewers.

Your amplicon FASTQ files are back from the sequencer, and the default CRISPResso2 numbers are already lying to you about your HDR and base editing rates. Here is how to run CRISPResso2 properly from raw paired-end reads to publication-ready allele tables.

A five-person molecular biology lab easily spends $6,000 a year on per-seat subscriptions for Prism, SnapGene, FlowJo, and BioRender. I tested the free, open-source replacements on real bench data — from 4PL IC50 curves and diagnostic digests to FCS gating — and looked honestly at where the free stack wins and where it still hurts.

A free, MIT-licensed web app that treats your cloning history — not just the final map — as the thing worth saving. I ran it self-hosted, cloned URA3 into pUC19 from a Python script, and looked hard at where it falls short of SnapGene and Benchling.

For thirteen years, every CRISPR tool in your freezer was mined from a microbe. In 2025 and 2026, two papers changed that — AI-generated editors that work in human cells and, in one case, outperform the natural enzyme. Here is what the data actually shows, and what it means for your bench.