Gad Getz
Wrote the algorithms (MuTect, MutSig, ABSOLUTE) that most cancer genome studies use to find mutations.
Computational biologist who led analysis for TCGA and PanCancer projects and defined significantly mutated genes and clonal architecture across cancers.
| Title | Journal | Year |
|---|---|---|
| Mutational heterogeneity in cancer and the search for new cancer-associated genes | Nature | 2013 |
Pages like this
not linked directly; found by shared links- IdeaA standard evolvability score for every tumour
Shares Mutational signature, Whole-exome & whole-genome sequencing.
- IdeaPool every multi-sample tumour genome into one open evolution atlas
Shares Broad Institute of MIT and Harvard, Whole-exome & whole-genome sequencing.
- Key paperCancer genome landscapes: about 140 driver genes, and each tumour needs only a handful
Shares TCGA Pan-Cancer Atlas: 10,000 tumours across 33 cancer types, classified by molecular features, Mutational signature, Whole-exome & whole-genome sequencing.
- CollectionTCGA / NCI Genomic Data Commons
Shares TCGA Pan-Cancer Atlas: 10,000 tumours across 33 cancer types, classified by molecular features, Whole-exome & whole-genome sequencing.
- InstitutionWellcome
Shares Mutational signature, Whole-exome & whole-genome sequencing.
- IdeaLet patients themselves donate their records and samples for ultra-rare cancers
Shares Broad Institute of MIT and Harvard, Whole-exome & whole-genome sequencing.
- InstitutionNational Cancer Centre Singapore
Shares Mutational signature, Whole-exome & whole-genome sequencing.
- InstitutionWellcome Sanger Institute
Shares Mutational signature, Broad Institute of MIT and Harvard, Whole-exome & whole-genome sequencing.