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MotifMap-RNA: a genome-wide map of RBP binding sites.
Liu, Yu; Sun, Sha; Bredy, Timothy; Wood, Marcelo; Spitale, Robert C; Baldi, Pierre.
Afiliação
  • Liu Y; Department of Computer Science and Institute for Genomics and Bioinformatics.
  • Sun S; Department of Developmental and Cell Biology.
  • Bredy T; Department of Neurobiology and Behavior.
  • Wood M; Department of Neurobiology and Behavior.
  • Spitale RC; Department of Pharmaceutical Sciences and the Chao Family Comprehensive Cancer Center, University of California, Irvine, CA 92697, USA.
  • Baldi P; Department of Computer Science and Institute for Genomics and Bioinformatics.
Bioinformatics ; 33(13): 2029-2031, 2017 Jul 01.
Article em En | MEDLINE | ID: mdl-28334276
ABSTRACT
MOTIVATION RNA plays a critical role in gene expression and its regulation. RNA binding proteins (RBPs), in turn, are important regulators of RNA. Thanks to the availability of large scale data for RBP binding motifs and in vivo binding sites results in the form of eCLIP experiments, it is now possible to computationally predict RBP binding sites across the whole genome.

RESULTS:

We describe MotifMap-RNA, an extension of MotifMap which predicts binding sites for RBP motifs across human and mouse genomes and allows large scale querying of predicted binding sites. AVAILABILITY AND IMPLEMENTATION The data and corresponding web server are available from http//motifmap-rna.ics.uci.edu/ as part of the MotifMap web portal. CONTACT rspitale@uci.edu or pfbaldi@uci.edu. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / DNA / Proteínas de Ligação a RNA / Genoma / Genômica Limite: Animals / Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / DNA / Proteínas de Ligação a RNA / Genoma / Genômica Limite: Animals / Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article