huva: A human variation analysis framework to predict gene perturbation from population-scale multi-omics data

huva: A human variation analysis framework to predict gene perturbation from population-scale multi-omics data

Summary: Variance of gene expression is intrinsic to any given natural population. Here, we present a protocol to analyze this variance using a conditional quasi loss- and gain-of-function approach. The huva (human variation) package takes advantage of population-scale multi-omics data to infer gene...

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Bibliografiska uppgifter
Huvudupphovsmän: Anna C. Aschenbrenner, Lorenzo Bonaguro
Materialtyp: Artikel
Språk:English
Publicerad: Elsevier 2023-06-01
Serie:STAR Protocols
Ämnen:
Bioinformatics
RNAseq
Immunology
Gene Expression
Systems Biology
Länkar:http://www.sciencedirect.com/science/article/pii/S266616672300151X

Internet

http://www.sciencedirect.com/science/article/pii/S266616672300151X

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