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Translational Medicine / 转化医学Cancer Bioinformatics and Pipeline Development

Gordon Saksena

MS

🏢Broad Institute of MIT and Harvard🌐USA

Senior Computational Biologist

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Key Contributions

👥Biography 个人简介

Gordon Saksena has been instrumental in engineering and maintaining the production-scale cancer genomics computational pipelines at the Broad Institute that have processed tens of thousands of tumor samples for TCGA, CCLE, and other major projects, co-developing the GISTIC algorithm for identifying significant focal copy number alterations. His work ensures the reliability, scalability, and reproducibility of the computational infrastructure that the global cancer genomics community depends on for cancer gene discovery. His engineering contributions have been essential for translating algorithmic innovations into robust, production-ready analysis tools.

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🧪Research Fields 研究领域

GISTIC copy number analysis
Cancer genome pipeline engineering
Somatic alteration detection
High-throughput sequencing QC
Batch analysis cancer genomics

🎓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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