Literature DB >> 20827590

Computational analysis of ChIP-seq data.

Hongkai Ji1.   

Abstract

Chromatin immunoprecipitation followed by massively parallel sequencing (ChIP-seq) is a new technology to map protein-DNA interactions in a genome. The genome-wide transcription factor binding site and chromatin modification data produced by ChIP-seq provide invaluable information for studying gene regulation. This chapter reviews basic characteristics of ChIP-seq data and introduces a computational procedure to identify protein-DNA interactions from ChIP-seq experiments.

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Year:  2010        PMID: 20827590     DOI: 10.1007/978-1-60761-854-6_9

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

1.  LEC1 sequentially regulates the transcription of genes involved in diverse developmental processes during seed development.

Authors:  Julie M Pelletier; Raymond W Kwong; Soomin Park; Brandon H Le; Russell Baden; Alexandro Cagliari; Meryl Hashimoto; Matthew D Munoz; Robert L Fischer; Robert B Goldberg; John J Harada
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-24       Impact factor: 11.205

2.  Computational methodology for ChIP-seq analysis.

Authors:  Hyunjin Shin; Tao Liu; Xikun Duan; Yong Zhang; X Shirley Liu
Journal:  Quant Biol       Date:  2013-03-01

3.  Genome-wide profiling of multiple histone methylations in olfactory cells: further implications for cellular susceptibility to oxidative stress in schizophrenia.

Authors:  S Kano; C Colantuoni; F Han; Z Zhou; Q Yuan; A Wilson; Y Takayanagi; Y Lee; J Rapoport; W Eaton; N Cascella; H Ji; D Goldman; A Sawa
Journal:  Mol Psychiatry       Date:  2012-08-28       Impact factor: 15.992

4.  Transcription factor binding sites prediction based on modified nucleosomes.

Authors:  Mohammad Talebzadeh; Fatemeh Zare-Mirakabad
Journal:  PLoS One       Date:  2014-02-21       Impact factor: 3.240

  4 in total

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