Cargando…
CBS: an open platform that integrates predictive methods and epigenetics information to characterize conserved regulatory features in multiple Drosophila genomes
BACKGROUND: Information about the composition of regulatory regions is of great value for designing experiments to functionally characterize gene expression. The multiplicity of available applications to predict transcription factor binding sites in a particular locus contrasts with the substantial...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3564944/ https://www.ncbi.nlm.nih.gov/pubmed/23228284 http://dx.doi.org/10.1186/1471-2164-13-688 |
_version_ | 1782258390025633792 |
---|---|
author | Blanco, Enrique Corominas, Montserrat |
author_facet | Blanco, Enrique Corominas, Montserrat |
author_sort | Blanco, Enrique |
collection | PubMed |
description | BACKGROUND: Information about the composition of regulatory regions is of great value for designing experiments to functionally characterize gene expression. The multiplicity of available applications to predict transcription factor binding sites in a particular locus contrasts with the substantial computational expertise that is demanded to manipulate them, which may constitute a potential barrier for the experimental community. RESULTS: CBS (Conserved regulatory Binding Sites, http://compfly.bio.ub.es/CBS) is a public platform of evolutionarily conserved binding sites and enhancers predicted in multiple Drosophila genomes that is furnished with published chromatin signatures associated to transcriptionally active regions and other experimental sources of information. The rapid access to this novel body of knowledge through a user-friendly web interface enables non-expert users to identify the binding sequences available for any particular gene, transcription factor, or genome region. CONCLUSIONS: The CBS platform is a powerful resource that provides tools for data mining individual sequences and groups of co-expressed genes with epigenomics information to conduct regulatory screenings in Drosophila. |
format | Online Article Text |
id | pubmed-3564944 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35649442013-02-08 CBS: an open platform that integrates predictive methods and epigenetics information to characterize conserved regulatory features in multiple Drosophila genomes Blanco, Enrique Corominas, Montserrat BMC Genomics Software BACKGROUND: Information about the composition of regulatory regions is of great value for designing experiments to functionally characterize gene expression. The multiplicity of available applications to predict transcription factor binding sites in a particular locus contrasts with the substantial computational expertise that is demanded to manipulate them, which may constitute a potential barrier for the experimental community. RESULTS: CBS (Conserved regulatory Binding Sites, http://compfly.bio.ub.es/CBS) is a public platform of evolutionarily conserved binding sites and enhancers predicted in multiple Drosophila genomes that is furnished with published chromatin signatures associated to transcriptionally active regions and other experimental sources of information. The rapid access to this novel body of knowledge through a user-friendly web interface enables non-expert users to identify the binding sequences available for any particular gene, transcription factor, or genome region. CONCLUSIONS: The CBS platform is a powerful resource that provides tools for data mining individual sequences and groups of co-expressed genes with epigenomics information to conduct regulatory screenings in Drosophila. BioMed Central 2012-12-10 /pmc/articles/PMC3564944/ /pubmed/23228284 http://dx.doi.org/10.1186/1471-2164-13-688 Text en Copyright ©2012 Blanco and Corominas; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Blanco, Enrique Corominas, Montserrat CBS: an open platform that integrates predictive methods and epigenetics information to characterize conserved regulatory features in multiple Drosophila genomes |
title | CBS: an open platform that integrates predictive methods and epigenetics information to characterize conserved regulatory features in multiple Drosophila genomes |
title_full | CBS: an open platform that integrates predictive methods and epigenetics information to characterize conserved regulatory features in multiple Drosophila genomes |
title_fullStr | CBS: an open platform that integrates predictive methods and epigenetics information to characterize conserved regulatory features in multiple Drosophila genomes |
title_full_unstemmed | CBS: an open platform that integrates predictive methods and epigenetics information to characterize conserved regulatory features in multiple Drosophila genomes |
title_short | CBS: an open platform that integrates predictive methods and epigenetics information to characterize conserved regulatory features in multiple Drosophila genomes |
title_sort | cbs: an open platform that integrates predictive methods and epigenetics information to characterize conserved regulatory features in multiple drosophila genomes |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3564944/ https://www.ncbi.nlm.nih.gov/pubmed/23228284 http://dx.doi.org/10.1186/1471-2164-13-688 |
work_keys_str_mv | AT blancoenrique cbsanopenplatformthatintegratespredictivemethodsandepigeneticsinformationtocharacterizeconservedregulatoryfeaturesinmultipledrosophilagenomes AT corominasmontserrat cbsanopenplatformthatintegratespredictivemethodsandepigeneticsinformationtocharacterizeconservedregulatoryfeaturesinmultipledrosophilagenomes |