ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments

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چکیده

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ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments

MOTIVATION Experiments such as ChIP-chip, ChIP-seq, ChIP-PET and DamID (the four methods referred herein as ChIP-X) are used to profile the binding of transcription factors to DNA at a genome-wide scale. Such experiments provide hundreds to thousands of potential binding sites for a given transcription factor in proximity to gene coding regions. RESULTS In order to integrate data from such st...

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Deciphering transcription factor binding patterns from genome-wide high density ChIP-chip tiling array data

BACKGROUND The binding events of DNA-interacting proteins and their patterns can be extensively characterized by high density ChIP-chip tiling array data. The characteristics of the binding events could be different for different transcription factors. They may even vary for a given transcription factor among different interaction loci. The knowledge of binding sites and binding occupancy patte...

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An Integrated Pipeline for the Genome-Wide Analysis of Transcription Factor Binding Sites from ChIP-Seq

ChIP-Seq has become the standard method for genome-wide profiling DNA association of transcription factors. To simplify analyzing and interpreting ChIP-Seq data, which typically involves using multiple applications, we describe an integrated, open source, R-based analysis pipeline. The pipeline addresses data input, peak detection, sequence and motif analysis, visualization, and data export, an...

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Integrating quantitative information from ChIP-chip experiments into motif finding.

Identifying binding locations of transcription factors (TFs) within long segments of noncoding DNA is a challenging task. Recent chromatin immunoprecipitation on microarray (ChIP-chip) experiments utilizing tiling arrays are especially promising for this task since they provide high-resolution genome-wide maps of the interactions between the TFs and the DNA. Data from these experiments are inva...

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Modelling the transcription factor DNA-binding affinity using genome-wide ChIP-based data

U nderstanding protein-DNA binding affinity is still a mystery for many transcription factors (TFs). Although several approaches have been proposed in the literature to model the DNA-binding specificity of TFs, they still have some limitations. Most of the methods require a cut-off threshold in order to classify a K-mer as a binding site (BS) and finding such a threshold is usually done by hand...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2010

ISSN: 1460-2059,1367-4803

DOI: 10.1093/bioinformatics/btq466