Title
CNVRanger: association analysis of CNVs with gene expression and quantitative phenotypes.
Abstract
A Summary: Copy number variation (CNV) is a major type of structural genomic variation that is increasingly studied across different species for association with diseases and production traits. Established protocols for experimental detection and computational inference of CNVs from SNP array and next-generation sequencing data are available. We present the CNVRanger R/Bioconductor package which implements a comprehensive toolbox for structured downstream analysis of CNVs. This includes functionality for summarizing individual CNV calls across a population, assessing overlap with functional genomic regions, and genome-wide association analysis with gene expression and quantitative phenotypes.
Year
DOI
Venue
2020
10.1093/bioinformatics/btz632
BIOINFORMATICS
Field
DocType
Volume
Phenotype,Computer science,Gene expression,Genetic association,Computational biology,Bioinformatics
Journal
36
Issue
ISSN
Citations 
3
1367-4803
0
PageRank 
References 
Authors
0.34
0
10