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Bioinformatics
A bioinformatics track: file formats and their quirks, scripted analysis, statistics for biological data, pipeline tooling, and reproducible reporting.
A bioinformatics track: file formats and their quirks, scripted analysis, statistics for biological data, pipeline tooling, and reproducible reporting.
This track runs on milestones you submit, not videos you watch. Each milestone names what you hand in, and the review is what turns it into a verified step on your record. Where an existing course or deep-dive guide already covers part of the track, it is linked from this page.
Tools the work uses
Python or R with Biopython or the tidyverseThe two ecosystems most lab analyses are written in.
samtools, bedtools, seqkitThe command-line tools that do the heavy lifting correctly.
Nextflow or SnakemakeWorkflows that resume, rerun and document themselves.
Git with a notebook or Quarto reportAnalysis and prose in one place, versioned.
Where this track leads
- Bioinformatics analyst
- Computational research assistant
- Data stewardship and curation
- Software support in a core facility
Where this track stands today
Nothing here is padded out to look finished. This is the honest state of the parts that are still being built.
Milestone briefs (12 weeks)Being written
Python for BioinformaticsLive in the catalogue
02/Other tracks
Start with the milestone, not the video.
Enrol once and every track on the platform becomes available — the milestones, the review and the certificate at the end.