Gene-editing

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.

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.

T7E1 tells you if CRISPR worked. TIDE and ICE tell you how well. This post explains how both tools deconvolve your Sanger sequencing trace into a real editing percentage — no NGS required.

Mismatch-cleavage assays are the quickest and cheapest way to see if your CRISPR edit actually worked. This guide breaks down the mechanism of T7E1 and Surveyor nucleases, why the "denature and re-anneal" step is critical, and how to turn gel bands into an editing percentage.

You’ve made your edit, but how much of it is actually there? This post compares the three most common ways to measure CRISPR on-target efficiency—from the "quick and dirty" T7E1 gel assay to the high-resolution precision of Amplicon NGS.