Bioinformatics — Your First Pipeline

Go from zero command line to a reproducible RNA-seq analysis you can show.

What you'll be able to do

• • Work confidently in the Unix shell and Git
• • Run and interpret an RNA-seq differential expression analysis
• • Publish a reproducible analysis repository

Track steps

1. Roadmap~12h

   Bioinformatics roadmap — tooling foundations

   Shell, Git, environments and data hygiene.

   Open
2. Academy course~14h

   Academy: R or Python for biologists

   Data wrangling and plotting.

   Open
3. Hands-on project~20h

   Reproduce a published RNA-seq result

   Public dataset, documented workflow, versioned code.

4. Mentor checkpoint~1h

   Mentor checkpoint — code and stats review

   Feedback on methods, batch effects and interpretation.

   Open
5. Academy course~8h

   Academy: reproducible workflows

   Workflow managers and containers.

   Open
6. Mentor checkpoint~1h

   Final checkpoint — portfolio sign-off

   Mentor reviews your repository and README as a hiring manager would.

   Open