蛋白质基因组学
蛋白质组学
计算生物学
生物
基因组学
协调
癌症
蛋白质组
数据集成
基因组
转录组
数据整理
生物信息学
数据科学
计算机科学
遗传学
数据库
基因
物理
基因表达
声学
作者
Yize Li,Yongchao Dou,Felipe da Veiga Leprevost,Yifat Geffen,Anna Calinawan,François Aguet,Yo Akiyama,Shankara Anand,Chet Birger,Song Cao,Rubina Chaudhary,Padmini Chilappagari,Marcin Cieślik,Antonio Colaprico,Daniel Cui Zhou,Corbin Day,Marcin J. Domagalski,Myvizhi Esai Selvan,David Fenyö,Steven M. Foltz
出处
期刊:Cancer Cell
[Elsevier]
日期:2023-08-01
卷期号:41 (8): 1397-1406
被引量:128
标识
DOI:10.1016/j.ccell.2023.06.009
摘要
The National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium (CPTAC) investigates tumors from a proteogenomic perspective, creating rich multi-omics datasets connecting genomic aberrations to cancer phenotypes. To facilitate pan-cancer investigations, we have generated harmonized genomic, transcriptomic, proteomic, and clinical data for >1000 tumors in 10 cohorts to create a cohesive and powerful dataset for scientific discovery. We outline efforts by the CPTAC pan-cancer working group in data harmonization, data dissemination, and computational resources for aiding biological discoveries. We also discuss challenges for multi-omics data integration and analysis, specifically the unique challenges of working with both nucleotide sequencing and mass spectrometry proteomics data.
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