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Computational tools and resources for prediction and analysis of gene regulatory regions in the chick genome.
Khan, Mohsin A F; Soto-Jimenez, Luz Mayela; Howe, Timothy; Streit, Andrea; Sosinsky, Alona; Stern, Claudio D.
Afiliación
  • Khan MA; Department of Cell & Developmental Biology, University College London, London, United Kingdom.
Genesis ; 51(5): 311-24, 2013 May.
Article en En | MEDLINE | ID: mdl-23355428
The discovery of cis-regulatory elements is a challenging problem in bioinformatics, owing to distal locations and context-specific roles of these elements in controlling gene regulation. Here we review the current bioinformatics methodologies and resources available for systematic discovery of cis-acting regulatory elements and conserved transcription factor binding sites in the chick genome. In addition, we propose and make available, a novel workflow using computational tools that integrate CTCF analysis to predict putative insulator elements, enhancer prediction, and TFBS analysis. To demonstrate the usefulness of this computational workflow, we then use it to analyze the locus of the gene Sox2 whose developmental expression is known to be controlled by a complex array of cis-acting regulatory elements. The workflow accurately predicts most of the experimentally verified elements along with some that have not yet been discovered. A web version of the CTCF tool, together with instructions for using the workflow can be accessed from http://toolshed.g2.bx.psu.edu/view/mkhan1980/ctcf_analysis. For local installation of the tool, relevant Perl scripts and instructions are provided in the directory named "code" in the supplementary materials.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Pollos / Regulación de la Expresión Génica / Genoma / Biología Computacional / Redes Reguladoras de Genes Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Genesis Asunto de la revista: BIOLOGIA MOLECULAR Año: 2013 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Pollos / Regulación de la Expresión Génica / Genoma / Biología Computacional / Redes Reguladoras de Genes Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Genesis Asunto de la revista: BIOLOGIA MOLECULAR Año: 2013 Tipo del documento: Article País de afiliación: Reino Unido