START HERE

You have the biology.
We'll teach you the tools.

You don't need to know a programming language or any tool names yet. This page will guide you step by step from your first terminal command to analyzing your own sequencing data.

Start your first lesson See the learning path

WHO THIS IS FOR

Is this for me?

You do not need to arrive with code or software experience. You only need a biological question worth investigating.

Three black laptop screens with learner profiles: PhD student with sequencing data, lab researcher, and biologist learning to code; the screens are connected by arrows

THE FOUNDATION

Master these four skills first.

Complete them in order. Each one builds on the last. When you're done, you'll be ready to work with real biological data on any high-performance cluster.

01

Understand the Workflow

Learn what bioinformatics is, how data flows from sequencer to results, and how a reproducible pipeline is structured.

Start 02

Learn the Command Line

Navigate folders, create files, and run tools from the terminal, the language every bioinformatics tool speaks.

Start 03

Install Software Safely

Use Conda and Mamba to create isolated environments. Never break your system by installing incompatible tools again.

Start 04

Use a Supercomputer

Connect to an HPC cluster, submit jobs, and run analyses that are too large for a laptop.

Start

CHOOSE YOUR ROUTE

Pick your specialization.

Once you've built the foundation, choose the path that matches your research. Each route is a complete guided learning track.

Black laptop screen labelled Cell States, showing UMAP clusters and spatial omics analysis
ROUTE 01

Single-Cell & Spatial Omics

Map cell states, integrate datasets, trace developmental trajectories, and analyze multimodal data.

Start with scRNA-seq
Black laptop screen labelled DNA Variants, showing sequencing alignments and genomic variant analysis
ROUTE 02

Genomics & Variants

Call variants from whole-exome or whole-genome sequencing, annotate mutations, and explore long-read data.

Start with WES
Black laptop screen labelled Microbial Communities, showing community, taxonomy, and pathway analysis
ROUTE 03

Microbial Omics

Profile microbial communities, assemble metagenomes, and discover functional pathways in your samples.

Start with 16S rRNA
Black laptop screen labelled Evolutionary Genomics, showing phylogenetic and comparative genomics analysis
ROUTE 04

Evolutionary Genomics

Build phylogenies, identify orthologs, and explore genome-scale evolutionary relationships.

Start with Phylogeny

Already comfortable with the basics?

If you already know the command line and HPC, skip straight to our complete catalogue of hands-on tutorials.

Browse all tutorials