Bioinformatics tools, workflows, and learning resources
A practical starter map for genomics and computational biology. Build reproducible analyses and share results with Runcell.
Runcell AI can make bioinformatics much easier by reducing the time spent coding and debugging so you can focus on the core idea. Check how to draw circos plot with runcell with simple text prompts.
Sequence and lab utilities
Start with lightweight browser-side checks, then move into notebooks or longer workflows once the inputs are ready.
A curated bioinformatics toolkit map
The full ecosystem is huge. These sections highlight widely-used, open tools so you can get productive quickly (and build from there).
- SnakemakePython-based workflow management system.
Learning and community
The fastest path is learning by doing—and staying connected to the community.
- RosalindPractice bioinformatics through problem solving (classic).
- OSSU BioinformaticsA free, structured learning path with courses from top universities.
- RNA-seq tutorial (Griffith Lab)Hands-on guide to RNA-seq analysis (cloud-focused, very practical).
- Bioinformatics (Discord)Active community for questions and discussion.
- r/bioinformatics SlackSlack workspace coordinated via r/bioinformatics.
- COMBINE (Australia)Australian bioinformatics community group.
Run, share, and iterate on bioinformatics work faster
Keep analysis reproducible, collaborate in notebooks, and use Runcell’s developer tools to convert and publish results.