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2012-12-10

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cc-by (c) Blanco García, Enrique et al., 2012
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/34230

CBS: an open platform that integrates predictive methods and epigenetics information to characterize conserved regulatory features in multiple Drosophila genomes.

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Recurs relacionat

http://dx.doi.org/10.1186/1471-2164-13-688

Resum

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.

Matèries

Expressió gènica, Drosòfila, Genòmica, Epigènesi

Matèries (anglès)

Gene expression, Drosophila, Genomics, Epigenesis

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Col·leccions

Articles publicats en revistes (Genètica, Microbiologia i Estadística)

Citació

BLANCO GARCÍA, Enrique and COROMINAS, Montserrat (Corominas Guiu). CBS: an open platform that integrates predictive methods and epigenetics information to characterize conserved regulatory features in multiple Drosophila genomes. Bmc Genomics. 2012. Vol. 13, num. 688. ISSN 1471-2164. [consulted: 19 of August of 2026]. Available at: https://hdl.handle.net/2445/34230

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