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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.
  • CRISPResso2: the standard tool for CRISPR NGS analysis (full tutorial)
    Published on
    November 10, 2026

    CRISPResso2: the standard tool for CRISPR NGS analysis (full tutorial)

    crispr-seriescrisprgene-editingbioinformaticshow-to
    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.
  • Volcano plots and MA plots: visualizing RNA-seq results in R
    Published on
    July 30, 2026

    Volcano plots and MA plots: visualizing RNA-seq results in R

    how-toRbioinformaticsr-seriesrna-seq
    Your DESeq2 results table has thousands of rows, and sorting it in Excel tells you almost nothing about your experiment. Here is how to build volcano plots and MA plots in R with ggplot2 — and how to read what they are actually telling you.
  • 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.
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