Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/34230
Title: CBS: an open platform that integrates predictive methods and epigenetics information to characterize conserved regulatory features in multiple Drosophila genomes.
Author: Blanco García, Enrique
Corominas, Montserrat (Corominas Guiu)
Keywords: Expressió gènica
Drosòfila
Genòmica
Epigènesi
Gene expression
Drosophila
Genomics
Epigenesis
Issue Date: 10-Dec-2012
Publisher: BioMed Central
Abstract: 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.
Note: Reproducció del document publicat a: http://dx.doi.org/10.1186/1471-2164-13-688
It is part of: Bmc Genomics, 2012, vol. 13, p. 688.1-688.35
Related resource: http://dx.doi.org/10.1186/1471-2164-13-688
URI: http://hdl.handle.net/2445/34230
ISSN: 1471-2164
Appears in Collections:Articles publicats en revistes (Genètica, Microbiologia i Estadística)

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