Cargando…
CoRegNet: reconstruction and integrated analysis of co-regulatory networks
CoRegNet is an R/Bioconductor package to analyze large-scale transcriptomic data by highlighting sets of co-regulators. Based on a transcriptomic dataset, CoRegNet can be used to: reconstruct a large-scale co-regulatory network, integrate regulation evidences such as transcription factor binding sit...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4565029/ https://www.ncbi.nlm.nih.gov/pubmed/25979476 http://dx.doi.org/10.1093/bioinformatics/btv305 |
_version_ | 1782389541092458496 |
---|---|
author | Nicolle, Rémy Radvanyi, François Elati, Mohamed |
author_facet | Nicolle, Rémy Radvanyi, François Elati, Mohamed |
author_sort | Nicolle, Rémy |
collection | PubMed |
description | CoRegNet is an R/Bioconductor package to analyze large-scale transcriptomic data by highlighting sets of co-regulators. Based on a transcriptomic dataset, CoRegNet can be used to: reconstruct a large-scale co-regulatory network, integrate regulation evidences such as transcription factor binding sites and ChIP data, estimate sample-specific regulator activity, identify cooperative transcription factors and analyze the sample-specific combinations of active regulators through an interactive visualization tool. In this study CoRegNet was used to identify driver regulators of bladder cancer. Availability: CoRegNet is available at http://bioconductor.org/packages/CoRegNet Contact: remy.nicolle@issb.genopole.fr or mohamed.elati@issb.genopole.fr Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-4565029 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-45650292015-09-18 CoRegNet: reconstruction and integrated analysis of co-regulatory networks Nicolle, Rémy Radvanyi, François Elati, Mohamed Bioinformatics Applications Notes CoRegNet is an R/Bioconductor package to analyze large-scale transcriptomic data by highlighting sets of co-regulators. Based on a transcriptomic dataset, CoRegNet can be used to: reconstruct a large-scale co-regulatory network, integrate regulation evidences such as transcription factor binding sites and ChIP data, estimate sample-specific regulator activity, identify cooperative transcription factors and analyze the sample-specific combinations of active regulators through an interactive visualization tool. In this study CoRegNet was used to identify driver regulators of bladder cancer. Availability: CoRegNet is available at http://bioconductor.org/packages/CoRegNet Contact: remy.nicolle@issb.genopole.fr or mohamed.elati@issb.genopole.fr Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2015-09-15 2015-05-14 /pmc/articles/PMC4565029/ /pubmed/25979476 http://dx.doi.org/10.1093/bioinformatics/btv305 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 Nicolle, Rémy Radvanyi, François Elati, Mohamed CoRegNet: reconstruction and integrated analysis of co-regulatory networks |
title | CoRegNet: reconstruction and integrated analysis of co-regulatory networks |
title_full | CoRegNet: reconstruction and integrated analysis of co-regulatory networks |
title_fullStr | CoRegNet: reconstruction and integrated analysis of co-regulatory networks |
title_full_unstemmed | CoRegNet: reconstruction and integrated analysis of co-regulatory networks |
title_short | CoRegNet: reconstruction and integrated analysis of co-regulatory networks |
title_sort | coregnet: reconstruction and integrated analysis of co-regulatory networks |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4565029/ https://www.ncbi.nlm.nih.gov/pubmed/25979476 http://dx.doi.org/10.1093/bioinformatics/btv305 |
work_keys_str_mv | AT nicolleremy coregnetreconstructionandintegratedanalysisofcoregulatorynetworks AT radvanyifrancois coregnetreconstructionandintegratedanalysisofcoregulatorynetworks AT elatimohamed coregnetreconstructionandintegratedanalysisofcoregulatorynetworks |