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Artículo

INSECT: In silico search for co-occurring transcription factors

Rohr, Cristian OscarIcon ; Gonzalo Parra, R.; Yankilevich, PatricioIcon ; Perez Castro, Carolina InesIcon
Fecha de publicación: 10/2013
Editorial: Oxford University Press
Revista: Bioinformatics (oxford, England)
ISSN: 1367-4803
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Ciencias de la Información y Bioinformática

Resumen

P. Yankilevich & C Perez Castro both corresponding authors. Motivation: Transcriptional regulation occurs through the concerted actions of multiple transcription factors (TFs) that bind cooperatively to cis-regulatory modules (CRMs) of genes. These CRMs usually contain a variable number of transcription factor-binding sites(TFBSs) involved in related cellular and physiological processes. Chromatin immunoprecipitation followed by sequencing (ChIP-seq) has been effective in detecting TFBSs and nucleosome location in order to identify potential CRMs in genome-wide studies. Although several attempts were previously reported to predict the potential binding of TFs at TFBSs within CRMs by comparing different ChIP-seq data, these have been hampered by excessive background, usually emerging as a consequence of experimental conditions. To understand these complex regulatory circuits, it would be helpful to have reliable and updated user-friendly tools to assist in the identification of TFBSs and CRMs for genes of interest. Results: Here we present INSECT (IN-silico SEarch for Co-occurring Transcription factors), a novel web server for identifying potential TFBSs and CRMs in gene sequences. By combining several strategies, INSECT provides flexible analysis of multiple co-occurring TF binding sites, by applying differing search schemes and restriction parameters. Availability: INSECT is freely available as a web server at http://bioinformatics.ibioba-mpsp-conicet.gov.ar/INSECT
Palabras clave: Sequence Analysis , Motif Finding , Bioinformatics
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/12301
URL: https://academic.oup.com/bioinformatics/article/29/22/2852/316096/INSECT-IN-sili
DOI: https://doi.org/10.1093/bioinformatics/btt506
Colecciones
Articulos(IBIOBA - MPSP)
Articulos de INST. D/INV.EN BIOMED.DE BS AS-CONICET-INST. PARTNER SOCIEDAD MAX PLANCK
Citación
Rohr, Cristian Oscar; Gonzalo Parra, R.; Yankilevich, Patricio; Perez Castro, Carolina Ines; INSECT: In silico search for co-occurring transcription factors; Oxford University Press; Bioinformatics (oxford, England); 29; 22; 10-2013; 2852-2858
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