| Literature DB >> 31392308 |
Vinicius da Silva1,2, Marcel Ramos3, Martien Groenen1, Richard Crooijmans1, Anna Johansson2, Luciana Regitano4, Luiz Coutinho5, Ralf Zimmer6, Levi Waldron3, Ludwig Geistlinger3.
Abstract
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.Mesh:
Year: 2020 PMID: 31392308 DOI: 10.1093/bioinformatics/btz632
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937