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  • How to analyze qPCR data: the ΔΔCt method step by step (by hand, in a spreadsheet, and in R)
    Published on
    November 12, 2026

    How to analyze qPCR data: the ΔΔCt method step by step (by hand, in a spreadsheet, and in R)

    how-tomolecular-biologypcrRstatisticsbeginner
    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.
  • Bash for biologists: the command line survival guide
    Published on
    June 28, 2026

    Bash for biologists: the command line survival guide

    how-tobashbioinformaticsbeginnercommand-line
    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.
  • Conda for biologists: managing bioinformatics environments without losing your mind
    Published on
    June 28, 2026

    Conda for biologists: managing bioinformatics environments without losing your mind

    how-tocondabioinformaticsbeginnertool-review
    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.
  • Python for biologists: getting started (and how it compares to R)
    Published on
    June 23, 2026

    Python for biologists: getting started (and how it compares to R)

    how-topythonbioinformaticsr-seriesbeginner
    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.
  • Sanger + TIDE/ICE: quantifying CRISPR editing without NGS
    Published on
    May 7, 2026

    Sanger + TIDE/ICE: quantifying CRISPR editing without NGS

    crispr-seriescrisprgene-editingbeginnerhow-to
    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.
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