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Transcription factor binding predictions using TRAP for the analysis of ChIP-seq data and regulatory SNPs.
Thomas-Chollier, Morgane; Hufton, Andrew; Heinig, Matthias; O'Keeffe, Sean; Masri, Nassim El; Roider, Helge G; Manke, Thomas; Vingron, Martin.
Afiliação
  • Thomas-Chollier M; Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany. thomas-c@molgen.mpg.de
Nat Protoc ; 6(12): 1860-9, 2011 Nov 03.
Article em En | MEDLINE | ID: mdl-22051799
ABSTRACT
The transcription factor affinity prediction (TRAP) method calculates the affinity of transcription factors for DNA sequences on the basis of a biophysical model. This method has proven to be useful for several applications, including for determining the putative target genes of a given factor. This protocol covers two other applications (i) determining which transcription factors have the highest affinity in a set of sequences (illustrated with chromatin immunoprecipitation-sequencing (ChIP-seq) peaks), and (ii) finding which factor is the most affected by a regulatory single-nucleotide polymorphism. The protocol describes how to use the TRAP web tools to address these questions, and it also presents a way to run TRAP on random control sequences to better estimate the significance of the results. All of the tools are fully available online and do not need any additional installation. The complete protocol takes about 45 min, but each individual tool runs in a few minutes.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fatores de Transcrição / Software / Polimorfismo de Nucleotídeo Único / Imunoprecipitação da Cromatina Idioma: En Ano de publicação: 2011 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fatores de Transcrição / Software / Polimorfismo de Nucleotídeo Único / Imunoprecipitação da Cromatina Idioma: En Ano de publicação: 2011 Tipo de documento: Article