Computational protocol to identify shared transcriptional risks and mutually beneficial compounds between diseases

Computational protocol to identify shared transcriptional risks and mutually beneficial compounds between diseases

Summary: The accumulation of omics and biobank resources allows for a genome-wide understanding of the shared pathologic mechanisms between diseases and for strategies to identify drugs that could be repurposed as novel treatments. Here, we present a computational protocol, implemented as a Snakemak...

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Bibliographic Details
Main Authors:	Hua Gao, Mao Zhang, Richard A. Baylis, Fudi Wang, Johan L.M. Björkegren, Jason J. Kovacic, Arno Ruusalepp, Nicholas J. Leeper
Format:	Article
Language:	English
Published:	Elsevier 2024-03-01
Series:	STAR Protocols
Subjects:	Bioinformatics Cancer Health Sciences RNAseq
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666166724000480

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