학술논문

huva: A human variation analysis framework to predict gene perturbation from population-scale multi-omics data
Document Type
article
Source
STAR Protocols, Vol 4, Iss 2, Pp 102193- (2023)
Subject
Bioinformatics
RNAseq
Immunology
Gene Expression
Systems Biology
Science (General)
Q1-390
Language
English
ISSN
2666-1667
Abstract
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 function and the relationship between phenotype and gene expression. We describe the steps for setting up the huva workspace, formatting datasets, performing huva experiments, and exporting data.For complete details on the use and execution of this protocol, please refer to Bonaguro et al. (2022).1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.