Li Ding
李丁
PhD
Professor, Medicine & Genetics; Co-Director, Computational Biology医学与遗传学教授;计算生物学联合主任
👥Biography 个人简介
Li Ding leads large-scale cancer genome analysis at Washington University, with central roles in TCGA and CPTAC. Her lab develops computational methods to identify cancer driver mutations, characterize tumor evolution, and integrate genomic, proteomic and clinical data.
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
TCGA Pan-Cancer Analysis
Led computational analyses across multiple TCGA cancer types, identifying key driver genes and mutational processes shaping cancer genomes at scale.
Proteogenomics
Co-led CPTAC proteogenomic studies integrating DNA, RNA and protein data in breast, colon, ovarian and lung cancers, linking genomic alterations to protein-level changes.
Cancer Evolution
Developed computational frameworks to reconstruct clonal evolution from tumor sequencing data, characterizing subclonal architecture and therapy resistance mechanisms.
Representative Works 代表性著作
Landscape of somatic mutations in 560 breast cancer whole-genome sequences
Nature (2016)
Comprehensive whole-genome analysis identifying novel driver genes and mutational signatures shaping breast cancer.
Proteogenomic characterization of human colon and rectal cancer
Cell (2019)
CPTAC landmark study integrating genomic and proteomic data in colorectal cancer, revealing protein-level cancer drivers.
Comprehensive molecular characterization of lung adenocarcinoma
Nature (2014)
TCGA analysis of lung adenocarcinoma defining molecular subtypes and actionable alterations across 230 tumors.
🏆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
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