hack-cancer.orgLearn computational oncology without getting lost

Choose your path ​

Pick the route closest to where you are today; each path leads to practical, evidence-aware technical work.

A fast first route ​

If you build software or models and want a clean entry point, take this path:

1. Read What is cancer? for the minimum biology vocabulary.
2. Run the first Genomic Data Commons query.
3. Pick the next layer: lab methods, omics, bioinformatics, or examples.

That is enough to stop wandering and start making informed choices.

What this project is ​

HackCancer is a public learning and build space for people who can help with software, data, infrastructure, visualization, documentation, and reproducible analysis. It is not trying to make cancer look easy. It is trying to make the entry points clearer.

Useful anchors:

• Mission explains the larger reason for the project.
• Roadmap shows the direction without pretending every page is complete.
• Data and APIs points to public resources such as the NCI Genomic Data Commons.
• Editorial standard describes how pages should handle citations, links, language, and code.

Boundaries ​

Current state ​

HackCancer is in an early public release. Content is being reviewed, translated, expanded, and reorganized in visible layers. The honest list of what works, what is partial, and what needs help lives in Project status.

Questions or corrections: [email protected].