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ChIP-Array 2: integrating multiple omics data to construct gene regulatory networks
Author(s) -
Panwen Wang,
Jing Qin,
Yiming Qin,
Yun Zhu,
Lily Yan Wang,
Mulin Jun Li,
Michael Q. Zhang,
Junwen Wang
Publication year - 2015
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkv398
Subject(s) - biology , chromatin , gene regulatory network , computational biology , histone , epigenetics , chia pet , transcription factor , chromatin immunoprecipitation , epigenomics , regulation of gene expression , genetics , gene , transcriptome , cis regulatory module , gene expression , chromatin remodeling , promoter , dna methylation , enhancer
Transcription factors (TFs) play an important role in gene regulation. The interconnections among TFs, chromatin interactions, epigenetic marks and cis-regulatory elements form a complex gene transcription apparatus. Our previous work, ChIP-Array, combined TF binding and transcriptome data to construct gene regulatory networks (GRNs). Here we present an enhanced version, ChIP-Array 2, to integrate additional types of omics data including long-range chromatin interaction, open chromatin region and histone modification data to dissect more comprehensive GRNs involving diverse regulatory components. Moreover, we substantially extended our motif database for human, mouse, rat, fruit fly, worm, yeast and Arabidopsis, and curated large amount of omics data for users to select as input or backend support. With ChIP-Array 2, we compiled a library containing regulatory networks of 18 TFs/chromatin modifiers in mouse embryonic stem cell (mESC). The web server and the mESC library are publicly free and accessible athttp://jjwanglab.org/chip-array.

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