Sökning: onr:"swepub:oai:slubar.slu.se:101819" >
CNVRanger: associat...
CNVRanger: association analysis of CNVs with gene expression and quantitative phenotypes
-
- Da Silva, Vinicius (författare)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för husdjursgenetik (HGEN),Department of Animal Breeding and Genetics,Wageningen University & Research Centre (Wageningen UR)
-
- Johansson, Anna Maria (författare)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för husdjursgenetik (HGEN),Department of Animal Breeding and Genetics
-
(creator_code:org_t)
-
- 2019-08-08
- 2020
- Engelska.
-
Ingår i: Bioinformatics. - : Oxford University Press (OUP). - 1367-4803 .- 1367-4811. ; 36, s. 972-973
- Relaterad länk:
-
https://pub.epsilon.... (primary) (Raw object) (free)
-
visa fler...
-
https://doi.org/10.1...
-
https://res.slu.se/i...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas