Datasets from our lessons

The exact real datasets our projects use. Open these to follow along, or to practice the same workflow on your own.

RNA-seq · Track 3

The airway dataset

Human airway smooth-muscle cells treated with dexamethasone (Himes et al., 2014). The classic teaching dataset for differential expression.

Open GSE52778 on GEO →
Python · Foundations

Human gene sequences

Real human genes used in the Python and Bash projects. The lessons fetch them by RefSeq accession (NM_000207, NM_000518, NM_000484); explore each gene here:

Insulin (INS) →
Beta-globin (HBB) →
APP (Alzheimer's) →
R · Foundations

Palmer Penguins

Real measurements of 344 penguins across three species - the friendly dataset behind the R project. Installs as an R package.

Palmer Penguins docs →
RNA-seq · Track 3

PyDESeq2 example data

The compact count matrix the flagship RNA-seq lesson runs on, so everything works instantly in your browser.

PyDESeq2 documentation →

Where the data lives

The public databases professional bioinformaticians use every day. Free, open, and enormous.

NCBI

The U.S. hub for sequences, genes, and genomes - including GenBank and the Entrez search system.

ncbi.nlm.nih.gov →

Ensembl

Richly annotated genomes for humans and many other species, with a friendly genome browser.

ensembl.org →

GEO

Gene Expression Omnibus - a vast archive of expression experiments (including RNA-seq) you can reanalyze.

GEO →

SRA

The Sequence Read Archive - raw sequencing reads from published studies worldwide.

SRA →

UniProt

The reference database for protein sequences and functional information.

uniprot.org →

PDB

The Protein Data Bank - 3D structures of proteins and other biological molecules.

rcsb.org →

Free tools to work in

Everything you need to start, without spending a cent or - for the first three - installing anything.

Google Colab

Run Python notebooks in your browser, free. What our lessons use so you can start with zero setup.

Open Colab →

Galaxy

Run real bioinformatics tools (alignment, QC, and more) through a point-and-click web interface - no command line needed.

usegalaxy.org →

VS Code

A free desktop editor for your scripts and projects. We have a step-by-step setup guide.

Set up VS Code →

Bioconductor

The home of R's biology packages - DESeq2, edgeR, limma, and hundreds more.

bioconductor.org →

Biopython

The Python toolkit for working with sequences and biological file formats.

biopython.org →

Rosalind

Learn bioinformatics by solving bite-sized coding problems - a fun way to practice.

rosalind.info →

NCBI BLAST

Search the world's sequence databases for matches to your DNA or protein, free in the browser. The tool behind our Sequence Alignment mini-course.

Open BLAST →

EMBL-EBI Tools

Free web tools for pairwise and multiple sequence alignment (Clustal Omega, MUSCLE) and more - no install needed.

ebi.ac.uk tools →

When you get stuck

Everyone does. Start with our beginner Help & FAQ; the rest is where the wider community goes for answers.

Beginner Help & FAQ

New and stuck? Start here: is it free, do I need to install anything, what is Colab, can I use VS Code, and what to do when a cell shows an error.

Open Help & FAQ →

Cheat sheets

Free one-page quick references: command line & samtools, file formats, conda & Git, and stats & DESeq2.

Open cheat sheets →

Biostars

A Q&A community dedicated entirely to bioinformatics questions.

biostars.org →

Stack Overflow

The go-to for coding errors in Python, R, and the command line.

stackoverflow.com →

Our Facebook page

Updates, tips, and a place to connect with the BioNexus Hub community.

Follow BioNexus Hub →

Ready to put these to use?

The roadmap walks you through exactly how to use these datasets and tools, step by step - from your first line of code to a finished analysis.

Start the roadmap →