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Translational Medicine / 转化医学Cancer Bioinformatics and Pipeline Development

Gad Getz

PhD

🏢Broad Institute of MIT and Harvard🌐USA

Director of the Broad Institute Cancer Genome Computational Analysis

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👥Biography 个人简介

Gad Getz has developed the foundational computational infrastructure for cancer genome analysis, creating widely used tools including MuTect for somatic mutation calling and GISTIC for copy number analysis that have been applied to tens of thousands of tumor genomes across TCGA, ICGC, and other major cancer genomics projects. His group at the Broad Institute has established the standard computational pipelines used by the cancer genomics community for variant calling, mutational significance analysis, and driver gene identification. His work has enabled the systematic discovery of cancer driver genes and mutational processes that define the molecular taxonomy of cancer.

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🧪Research Fields 研究领域

Cancer genome analysis pipelines
MuTect somatic mutation detection
TCGA computational analysis
Mutational significance analysis
Somatic copy number analysis

🎓Key Contributions 主要贡献

Representative Works 代表性著作

📄Data Sources 数据来源

Last updated: 2026-04-01 | All information from publicly available academic sources

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