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RSAT::Plants: Motif Discovery in ChIP-Seq Peaks of Plant Genomes.
Castro-Mondragon, Jaime A; Rioualen, Claire; Contreras-Moreira, Bruno; van Helden, Jacques.
Afiliação
  • Castro-Mondragon JA; INSERM, U1090 TAGC, Aix Marseille University, Marseille, 13288, France.
  • Rioualen C; INSERM, U1090 TAGC, Aix Marseille University, Marseille, 13288, France.
  • Contreras-Moreira B; Estación Experimental de Aula Dei-CSIC, Av. Montañana 1.005, 50059, Zaragoza, Spain.
  • van Helden J; Fundación ARAID, calle María de Luna 11, 50018, Zaragoza, Spain.
Methods Mol Biol ; 1482: 297-322, 2016.
Article em En | MEDLINE | ID: mdl-27557775
ABSTRACT
In this protocol, we explain how to run ab initio motif discovery in order to gather putative transcription factor binding motifs (TFBMs) from sets of genomic regions returned by ChIP-seq experiments. The protocol starts from a set of peak coordinates (genomic regions) which can be either downloaded from ChIP-seq databases, or produced by a peak-calling software tool. We provide a concise description of the successive steps to discover motifs, cluster the motifs returned by different motif discovery algorithms, and compare them with reference motif databases. The protocol is documented with detailed notes explaining the rationale underlying the choice of options. The interpretation of the results is illustrated with an example from the model plant Arabidopsis thaliana.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Genômica / Imunoprecipitação da Cromatina Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Genômica / Imunoprecipitação da Cromatina Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article