A computational approach to generate highly conserved gene co-expression networks with RNA-seq data

Autor: Zainab Arshad, John F. McDonald
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: STAR Protocols, Vol 3, Iss 2, Pp 101432- (2022)
Druh dokumentu: article
ISSN: 2666-1667
DOI: 10.1016/j.xpro.2022.101432
Popis: Summary: We describe a consensus approach for network construction based on fully conserved gene-gene interactions from randomly downsampled data subsets for an unbiased differential analysis of gene co-expression networks. The pipeline allows users to identify network nodes lost, conserved, and acquired in cancer as well as interpret the functional significance of these network changes. For proof of concept, the protocol is used to leverage RNA-seq data of tumor samples from TCGA and healthy tissue samples from the GTEx database.For complete details on the use and execution of this protocol, please refer to Arshad and McDonald (2021). : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
Databáze: Directory of Open Access Journals