Short-read amplicon NGS is the gold standard for CRISPR indel detection — but it has a blind spot for structural variants, large deletions, and complex rearrangements. Long-read sequencing from Oxford Nanopore or PacBio fills that gap. Here is when it matters and how to actually run the analysis.
Where wet lab meets dry lab
Practical, tested guides for modern biologists — CRISPR from bench to NGS analysis, and learning R & Python without leaving the biology behind. Real code, real data, honest tool reviews.
Start with a guided series
CRISPR from Bench to Analysis
A guided path from how CRISPR works at the molecular level, through guide design, to validating and quantifying edits with NGS.
14 lessons · Start the path →R for Biologists
Go from spreadsheets to reproducible bioinformatics — one practical, biology-first R lesson at a time.
16 lessons · Start the path →Latest posts
- You can run a Western blot but you are terrified of the terminal. Here is everything a bench biologist actually needs to know about the command line — navigating files, counting sequences, searching data, and writing one-liners that replace an hour of Excel work.
- You installed samtools and it broke your entire Python setup. Or DESeq2 needs R 4.3 but your system has R 4.1. Here is how Conda solves the dependency nightmare that every biologist runs into — with real commands, real installs, and real output.
- 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.
Subscribe to the newsletter




