Network analysis of TCGA and GTEx gene expression datasets for identification of trait-associated biomarkers in human cancer

STAR Protocols

Justin A. MacDonald¹  Huey-Miin Chen² 

[1] Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4Z6, Canada;;Department of Biochemistry &

关键词: Bioinformatics;    Cancer;    Genomics;    RNAseq;    Gene Expression;    Systems biology;   

DOI  :  

来源: DOAJ

【 摘 要 】

Summary: Advances in high-throughput sequencing technologies now yield unprecedented volumes of OMICs data with opportunities to conduct systematic data analyses and derive novel biological insights. Here, we provide protocols to perform differential-expressed gene analysis of TCGA and GTEx RNA-Seq data from human cancers, complete integrative GO and network analyses with focus on clinical and survival data, and identify differential correlation of trait-associated biomarkers.For complete details on the use and execution of this protocol, please refer to Chen and MacDonald (2021).

【 授权许可】

Unknown