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CNVRanger: association analysis of CNVs with gene expression and quantitative phenotypes
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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887538/ https://www.ncbi.nlm.nih.gov/pubmed/31392308 http://dx.doi.org/10.1093/bioinformatics/btz632 |
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author | da Silva, Vinicius Ramos, Marcel Groenen, Martien Crooijmans, Richard Johansson, Anna Regitano, Luciana Coutinho, Luiz Zimmer, Ralf Waldron, Levi Geistlinger, Ludwig |
author_facet | da Silva, Vinicius Ramos, Marcel Groenen, Martien Crooijmans, Richard Johansson, Anna Regitano, Luciana Coutinho, Luiz Zimmer, Ralf Waldron, Levi Geistlinger, Ludwig |
author_sort | da Silva, Vinicius |
collection | PubMed |
description | 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. AVAILABILITY AND IMPLEMENTATION: http://bioconductor.org/packages/CNVRanger. |
format | Online Article Text |
id | pubmed-9887538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98875382023-01-31 CNVRanger: association analysis of CNVs with gene expression and quantitative phenotypes da Silva, Vinicius Ramos, Marcel Groenen, Martien Crooijmans, Richard Johansson, Anna Regitano, Luciana Coutinho, Luiz Zimmer, Ralf Waldron, Levi Geistlinger, Ludwig Bioinformatics Applications Note 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. AVAILABILITY AND IMPLEMENTATION: http://bioconductor.org/packages/CNVRanger. Oxford University Press 2019-08-08 /pmc/articles/PMC9887538/ /pubmed/31392308 http://dx.doi.org/10.1093/bioinformatics/btz632 Text en © The Author(s) 2019. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note da Silva, Vinicius Ramos, Marcel Groenen, Martien Crooijmans, Richard Johansson, Anna Regitano, Luciana Coutinho, Luiz Zimmer, Ralf Waldron, Levi Geistlinger, Ludwig CNVRanger: association analysis of CNVs with gene expression and quantitative phenotypes |
title | CNVRanger: association analysis of CNVs with gene expression and quantitative phenotypes |
title_full | CNVRanger: association analysis of CNVs with gene expression and quantitative phenotypes |
title_fullStr | CNVRanger: association analysis of CNVs with gene expression and quantitative phenotypes |
title_full_unstemmed | CNVRanger: association analysis of CNVs with gene expression and quantitative phenotypes |
title_short | CNVRanger: association analysis of CNVs with gene expression and quantitative phenotypes |
title_sort | cnvranger: association analysis of cnvs with gene expression and quantitative phenotypes |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887538/ https://www.ncbi.nlm.nih.gov/pubmed/31392308 http://dx.doi.org/10.1093/bioinformatics/btz632 |
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