Computational biology projects built with AI
Oncomap
Turns a pancreatic cancer VCF into a molecular oncology report
What it does
Pancreatic cancer moves fast, and reading a tumour's variants by hand can take hours. Oncomap automates the whole path: upload a VCF, annotate it with Ensembl VEP, filter it, and download a report that lists each variant with its protein change, allele frequency, clinical significance, treatment implications and AMP/ASCO/CAP tier.
How it works
- Annotates the uploaded VCF through the Ensembl VEP API
- Keeps rare, canonical, non-synonymous variants (allele frequency below 1%)
- Writes a PDF report per sample, for example KRAS G12D flagged as Tier I in PDAC
Built with VCF · Ensembl VEP · HGVS · AMP/ASCO/CAP tiers · Python
A learner prototype built on public data, shared with the team's permission as part of their portfolio. It is not a clinical tool.
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