Literature DB >> 23790213

DNA sequence motif: a jack of all trades for ChIP-Seq data.

Ivan V Kulakovskiy1, Vsevolod J Makeev.   

Abstract

Nowadays, chromatin immunoprecipitation followed by next-generation sequencing, often referred to as ChIP-Seq, has become an industry standard to study a landscape of DNA-protein interactions in vivo. ChIP-Seq captures highly specific protein-DNA interactions, such as transcription factors (TFs) bound to appropriate binding sites, and sparse patterns formed by different histone marks. In this review, we focus on DNA sequence analysis methods adequate for TF ChIP-Seq data. We discuss numerous tasks starting from basic DNA motif finding and motif discovery as is, further applied to explore various features of experimental data. We show how sequence analysis of ChIP-Seq data derives novel biological knowledge on multiple levels, from individual transcription factor binding sites to genome segments operating as regulatory modules. Finally, we provide an overview of existing software in the field.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23790213     DOI: 10.1016/B978-0-12-411637-5.00005-6

Source DB:  PubMed          Journal:  Adv Protein Chem Struct Biol        ISSN: 1876-1623            Impact factor:   3.507


  4 in total

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Journal:  Nucleic Acids Res       Date:  2015-11-19       Impact factor: 16.971

3.  Analysis of pattern overlaps and exact computation of P-values of pattern occurrences numbers: case of Hidden Markov Models.

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Journal:  Algorithms Mol Biol       Date:  2014-12-16       Impact factor: 1.405

4.  Negative selection maintains transcription factor binding motifs in human cancer.

Authors:  Ilya E Vorontsov; Grigory Khimulya; Elena N Lukianova; Daria D Nikolaeva; Irina A Eliseeva; Ivan V Kulakovskiy; Vsevolod J Makeev
Journal:  BMC Genomics       Date:  2016-06-23       Impact factor: 3.969

  4 in total

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