Gad Getz
加德·盖茨
PhD
Director of Cancer Genome Computational Analysis, Broad Institute博德研究所癌症基因组计算分析主任
👥Biography 个人简介
Leading computational cancer genomicist who developed foundational algorithms for detecting somatic mutations and mutational signatures. His MuTect and ABSOLUTE tools are used in virtually every cancer genomics study worldwide.
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
Somatic Mutation Detection
Developed MuTect, the most widely used algorithm for detecting somatic point mutations in paired tumor-normal cancer genome sequencing data.
Mutational Signatures
Pioneered analysis of mutational signatures in cancer genomes, revealing distinct patterns of DNA damage and repair processes linked to carcinogens and defective repair.
Tumor Purity and Clonality
Created ABSOLUTE algorithm for determining tumor purity, ploidy, and clonal architecture from copy number profiles, essential for accurate genomic analysis.
Representative Works 代表性著作
Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples
Nature Biotechnology (2013)
Introduced MuTect algorithm enabling sensitive and specific somatic mutation detection, now the field standard.
Absolute quantification of somatic DNA alterations in human cancer
Nature Biotechnology (2012)
ABSOLUTE method for deriving absolute allelic copy numbers and clonal structure of tumors.
Mutational landscape and significance across 12 major cancer types
Nature (2013)
Pan-cancer TCGA analysis identifying significantly mutated genes and their functional roles across cancer types.
🏆Awards & Recognition 奖项与荣誉
📄Data Sources 数据来源
Last updated: 2026-01-15 | All information from publicly available academic sources
Related Experts 相关专家
Mary-Claire King
University of Washington
Kenneth Offit
Memorial Sloan Kettering Cancer Center
Judy Garber
Dana-Farber Cancer Institute
Barbara Biesecker
RTI International / NHGRI
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