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regioneR: an R/Bioconductor package for the association analysis of genomic regions based on permutation tests
Motivation: Statistically assessing the relation between a set of genomic regions and other genomic features is a common challenging task in genomic and epigenomic analyses. Randomization based approaches implicitly take into account the complexity of the genome without the need of assuming an under...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4708104/ https://www.ncbi.nlm.nih.gov/pubmed/26424858 http://dx.doi.org/10.1093/bioinformatics/btv562 |
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author | Gel, Bernat Díez-Villanueva, Anna Serra, Eduard Buschbeck, Marcus Peinado, Miguel A. Malinverni, Roberto |
author_facet | Gel, Bernat Díez-Villanueva, Anna Serra, Eduard Buschbeck, Marcus Peinado, Miguel A. Malinverni, Roberto |
author_sort | Gel, Bernat |
collection | PubMed |
description | Motivation: Statistically assessing the relation between a set of genomic regions and other genomic features is a common challenging task in genomic and epigenomic analyses. Randomization based approaches implicitly take into account the complexity of the genome without the need of assuming an underlying statistical model. Summary: regioneR is an R package that implements a permutation test framework specifically designed to work with genomic regions. In addition to the predefined randomization and evaluation strategies, regioneR is fully customizable allowing the use of custom strategies to adapt it to specific questions. Finally, it also implements a novel function to evaluate the local specificity of the detected association. Availability and implementation: regioneR is an R package released under Artistic-2.0 License. The source code and documents are freely available through Bioconductor (http://www.bioconductor.org/packages/regioneR). Contact: rmalinverni@carrerasresearch.org |
format | Online Article Text |
id | pubmed-4708104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-47081042016-01-12 regioneR: an R/Bioconductor package for the association analysis of genomic regions based on permutation tests Gel, Bernat Díez-Villanueva, Anna Serra, Eduard Buschbeck, Marcus Peinado, Miguel A. Malinverni, Roberto Bioinformatics Applications Notes Motivation: Statistically assessing the relation between a set of genomic regions and other genomic features is a common challenging task in genomic and epigenomic analyses. Randomization based approaches implicitly take into account the complexity of the genome without the need of assuming an underlying statistical model. Summary: regioneR is an R package that implements a permutation test framework specifically designed to work with genomic regions. In addition to the predefined randomization and evaluation strategies, regioneR is fully customizable allowing the use of custom strategies to adapt it to specific questions. Finally, it also implements a novel function to evaluate the local specificity of the detected association. Availability and implementation: regioneR is an R package released under Artistic-2.0 License. The source code and documents are freely available through Bioconductor (http://www.bioconductor.org/packages/regioneR). Contact: rmalinverni@carrerasresearch.org Oxford University Press 2016-01-15 2015-09-30 /pmc/articles/PMC4708104/ /pubmed/26424858 http://dx.doi.org/10.1093/bioinformatics/btv562 Text en © The Author 2015. Published by Oxford University Press. http://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/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Gel, Bernat Díez-Villanueva, Anna Serra, Eduard Buschbeck, Marcus Peinado, Miguel A. Malinverni, Roberto regioneR: an R/Bioconductor package for the association analysis of genomic regions based on permutation tests |
title | regioneR: an R/Bioconductor package for the association analysis of genomic regions based on permutation tests |
title_full | regioneR: an R/Bioconductor package for the association analysis of genomic regions based on permutation tests |
title_fullStr | regioneR: an R/Bioconductor package for the association analysis of genomic regions based on permutation tests |
title_full_unstemmed | regioneR: an R/Bioconductor package for the association analysis of genomic regions based on permutation tests |
title_short | regioneR: an R/Bioconductor package for the association analysis of genomic regions based on permutation tests |
title_sort | regioner: an r/bioconductor package for the association analysis of genomic regions based on permutation tests |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4708104/ https://www.ncbi.nlm.nih.gov/pubmed/26424858 http://dx.doi.org/10.1093/bioinformatics/btv562 |
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