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ChIP‐Atlas: a data‐mining suite powered by full integration of public ChIP‐seq data

2018· article· en· 822 citations· W2900310474 on OpenAlex· 10.15252/embr.201846255

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Abstract

> 70,000) derived from six representative model organisms (human, mouse, rat, fruit fly, nematode, and budding yeast), and have devised a data-mining platform-designated ChIP-Atlas (http://chip-atlas.org). ChIP-Atlas is able to show alignment and peak-call results for all public ChIP-seq and DNase-seq data archived in the NCBI Sequence Read Archive (SRA), which encompasses data derived from GEO, ArrayExpress, DDBJ, ENCODE, Roadmap Epigenomics, and the scientific literature. All peak-call data are integrated to visualize multiple histone modifications and binding sites of transcriptional regulators (TRs) at given genomic loci. The integrated data can be further analyzed to show TR-gene and TR-TR interactions, as well as to examine enrichment of protein binding for given multiple genomic coordinates or gene names. ChIP-Atlas is superior to other platforms in terms of data number and functionality for data mining across thousands of ChIP-seq experiments, and it provides insight into gene regulatory networks and epigenetic mechanisms.

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The record

Venue
EMBO Reports
Topic
Genomics and Phylogenetic Studies
Field
Biochemistry, Genetics and Molecular Biology
Canadian institutions
Funders
National Bioscience Database CenterJapan Science and Technology AgencyJapan Society for the Promotion of ScienceMinistry of Education, Culture, Sports, Science and TechnologyInstitute of GeneticsJapan Agency for Medical Research and Development
Keywords
SuiteComputer scienceDatabaseGeography
Has abstract in OpenAlex
yes