Jinghui Zhang
张静慧
PhD
Chair and Endowed Professor, Department of Computational Biology; Member, St. Jude Faculty计算生物学系主任兼讲席教授
👥Biography 个人简介
Jinghui Zhang, PhD is Chair of the Department of Computational Biology at St. Jude Children's Research Hospital, where she directs the bioinformatics analysis underpinning the most comprehensive genomic characterization of childhood cancers ever performed. She was a senior leader of the Pediatric Cancer Genome Project (PCGP)—the first paired tumor-germline whole-genome sequencing study of pediatric cancers—and has led analysis of the St. Jude Cloud, a freely accessible genomic data commons containing sequencing data from over 10,000 pediatric cancer patients. Her foundational contributions include developing widely adopted computational tools for somatic mutation calling (CREST, CICERO) and characterizing the landscape of structural variation, gene fusions, and noncoding regulatory mutations across childhood cancer types. The St. Jude Cloud platform she helps lead has enabled hundreds of research groups worldwide to perform pediatric cancer genomics studies without access to their own patient cohorts.
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
Pediatric Cancer Genome Project (PCGP)
Served as lead computational biologist for the PCGP, the first initiative to systematically apply paired tumor-germline whole-genome sequencing across 10+ childhood cancer types, yielding a comprehensive catalog of somatic alterations and predisposition variants in the largest pediatric cancer genomics series of its time.
Development of Cancer Structural Variant Algorithms
Developed CREST (Clipping REveals STructure) and CICERO (Clipped-reads Extended for RNA Observation), widely used computational tools for detecting structural variants and gene fusions from next-generation sequencing data, enabling discovery of novel driver rearrangements across pediatric cancers.
St. Jude Cloud Genomics Data Platform
Co-leads the St. Jude Cloud initiative, which provides open, controlled-access to whole-genome, whole-exome, and RNA sequencing data from 10,000+ pediatric cancer cases, hosting over 2.6 petabytes of data and enabling global collaborative research through a cloud computing environment.
Noncoding Genome and Regulatory Mutations in Childhood Cancer
Pioneered analysis of the pediatric cancer noncoding genome, identifying recurrent mutations in noncoding regulatory elements including promoters and enhancers in T-ALL, neuroblastoma, and pediatric gliomas, revealing a new class of oncogenic drivers missed by exome-focused studies.
Representative Works 代表性著作
The genomic landscape of pediatric and young adult T-lineage acute lymphoblastic leukemia
Nature Genetics (2017)
Comprehensive genomic analysis of 264 T-ALL cases from the PCGP defining the full landscape of driver mutations, structural variants, and novel gene fusions in this high-risk leukemia.
St. Jude Cloud: a pediatric cancer genomic data sharing ecosystem
Cancer Discovery (2021)
Description and validation of the St. Jude Cloud platform providing open access to pediatric cancer genomics data with cloud-native analysis tools and over 2.6 petabytes of sequencing data.
CREST: mapping complex rearrangements in tumor genomes at single base-pair resolution
Nature Methods (2011)
Introduction of the CREST algorithm using soft-clipped reads to detect structural variations at base-pair resolution, enabling discovery of novel driver gene fusions in pediatric cancer genomes.
🏆Awards & Recognition 奖项与荣誉
📄Data Sources 数据来源
Last updated: 2026-04-06 | All information from publicly available academic sources
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