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Discovering sequences with potential regulatory characteristics.
Bina, Minou; Wyss, Phillip; Lazarus, Sheryl A; Shah, Syed R; Ren, Wenhui; Szpankowski, Wojciech; Crawford, Gregory E; Park, Sang P; Song, Xiaohui C.
Afiliação
  • Bina M; Department of Chemistry, Purdue University, West Lafayette, IN 47907, USA. Bina@Purdue.edu
Genomics ; 93(4): 314-22, 2009 Apr.
Article em En | MEDLINE | ID: mdl-19084590
ABSTRACT
We developed a computational model to explore the hypothesis that regulatory instructions are context dependent and conveyed through specific 'codes' in human genomic DNA. We provide examples of correlation of computational predictions to reported mapped DNase I hypersensitive segments in the HOXA locus in human chromosome 7. The examples show that statistically significant 9-mers from promoter regions may occur in sequences near and upstream of transcription initiation sites, in intronic regions, and within intergenic regions. Additionally, a subset of 9-mers from coding sequences appears frequently, as clusters, in regulatory regions dispersed in noncoding regions in genomic DNA. The results suggest that the computational model has the potential of decoding regulatory instructions to discover candidate transcription factor binding sites and to discover candidate epigenetic signals that appear in both coding and regulatory regions of genes.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: DNA / Sequências Reguladoras de Ácido Nucleico / Biologia Computacional Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Genomics Ano de publicação: 2009 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: DNA / Sequências Reguladoras de Ácido Nucleico / Biologia Computacional Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Genomics Ano de publicação: 2009 Tipo de documento: Article