The NGS Classroom for Bench Scientists

Hands-on NGS data analysis tutorials for life scientists. No prior programming experience required — we start from absolute zero and build up from there.

90+ Tutorials
6 Series
50,000+ Researchers
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26 tutorials

Single-Cell Sequencing

From FASTQ to cell clusters, trajectory analysis, cell-cell communication and beyond.

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28 tutorials

Bulk RNA-seq

The complete pipeline: QC, alignment, DEGs, visualization, pathways, and advanced methods.

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14 tutorials

Epigenetics

ChIP-seq, ATAC-seq, CUT&RUN, Hi-C, and DNA methylation from scratch.

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11 tutorials

Genomics & WGS/WES

Whole genome/exome sequencing, variant calling, somatic mutations, CNVs, and GWAS.

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10 tutorials

Scientific Programming

HPC/Slurm, Docker, databases, and environment management for NGS workflows.

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1 article

Insights

Careers, AI, the job market, and where bioinformatics is heading.

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Your data came back. Now what?

You open the folder and it’s files you can’t read, in formats nobody explained. The usual advice is a reading list — Bash, then Python, then R, then statistics — before you’re allowed near your own data. That list works; it also cost me ten years. Both of these start the other way round: a real analysis in the first session, no programming experience assumed.

Live Workshop · Cohort 4 Waitlist

RNA-seq Analysis for Absolute Beginners

Seven live sessions covering the fundamentals everything else is built on — the Linux command line, the file formats, R, the statistics — and your raw reads through to publication figures. You take home two pipelines built to run on your own data: the quantification scripts and the full R analysis. Fifteen seats, so when you get stuck you ask and I answer right then — and afterwards we run your own samples through the pipeline together, one to one.

Two pipelines for your own data Ask the moment you’re stuck 1:1 on your own data Nothing to install
Per seat $997 Cohort 4 · February 2027
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Recorded Course · Available Now

The same seven sessions, on your own clock

Six and a half hours in total, covering the same fundamentals, and you finish holding the same two pipelines the live cohort takes home. Start tonight, pause whenever you need to, rewatch what didn’t land. A free twelve-minute walkthrough shows you every session before you decide anything.

Two pipelines for your own data Start tonight Yours to keep, runs offline
One payment $497 Credited if you upgrade to live
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  • How to analyze RNAseq Data for Absolute Beginners Part 1: Environment setup

    How to analyze RNAseq Data for Absolute Beginners Part 1: Environment setup

    Introduction RNA sequencing (RNAseq) has revolutionized the field of transcriptomics, offering unprecedented insights into gene expression patterns across entire genomes. This powerful technique allows researchers to quantify RNA levels, discover novel transcripts, and identify differentially expressed genes under various conditions. Whether you’re studying cancer progression, developmental biology, or environmental responses in organisms, RNAseq is an…

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Alternative Splicing Analysis ATAC-seq BAM ChIP-seq chromatin accessibility DESeq2 Differential Expression edgeR FASTQ GATK Mutect2 gene expression GSE282769 heatmap HOMER HPC Isoform limma MACS2 miRNA miRNA-seq MSigDB Normalization peak calling Pixi bioinformatics environment RNA-seq single-cell epigenomics beginners guide SLURM somatic mutations Transcript whole genome sequencing