GREAT improves functional interpretation of cis-regulatory regions.

dc.contributor.author

McLean, Cory Y

dc.contributor.author

Bristor, Dave

dc.contributor.author

Hiller, Michael

dc.contributor.author

Clarke, Shoa L

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Schaar, Bruce T

dc.contributor.author

Lowe, Craig B

dc.contributor.author

Wenger, Aaron M

dc.contributor.author

Bejerano, Gill

dc.date.accessioned

2018-09-13T14:40:14Z

dc.date.available

2018-09-13T14:40:14Z

dc.date.issued

2010-05-02

dc.date.updated

2018-09-13T14:40:14Z

dc.description.abstract

We developed the Genomic Regions Enrichment of Annotations Tool (GREAT) to analyze the functional significance of cis-regulatory regions identified by localized measurements of DNA binding events across an entire genome. Whereas previous methods took into account only binding proximal to genes, GREAT is able to properly incorporate distal binding sites and control for false positives using a binomial test over the input genomic regions. GREAT incorporates annotations from 20 ontologies and is available as a web application. Applying GREAT to data sets from chromatin immunoprecipitation coupled with massively parallel sequencing (ChIP-seq) of multiple transcription-associated factors, including SRF, NRSF, GABP, Stat3 and p300 in different developmental contexts, we recover many functions of these factors that are missed by existing gene-based tools, and we generate testable hypotheses. The utility of GREAT is not limited to ChIP-seq, as it could also be applied to open chromatin, localized epigenomic markers and similar functional data sets, as well as comparative genomics sets.

dc.identifier

nbt.1630

dc.identifier.issn

1087-0156

dc.identifier.issn

1546-1696

dc.identifier.uri

https://hdl.handle.net/10161/17406

dc.language

eng

dc.publisher

Springer Science and Business Media LLC

dc.relation.ispartof

Nature biotechnology

dc.relation.isversionof

10.1038/nbt.1630

dc.subject

Jurkat Cells

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Animals

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Humans

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Mice

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Serum Response Factor

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Chromatin Immunoprecipitation

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Genomics

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Protein Binding

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Genome

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Software

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Databases, Genetic

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Regulatory Elements, Transcriptional

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E1A-Associated p300 Protein

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Data Mining

dc.title

GREAT improves functional interpretation of cis-regulatory regions.

dc.type

Journal article

pubs.begin-page

495

pubs.end-page

501

pubs.issue

5

pubs.organisational-group

School of Medicine

pubs.organisational-group

Duke

pubs.organisational-group

Molecular Genetics and Microbiology

pubs.organisational-group

Basic Science Departments

pubs.publication-status

Published

pubs.volume

28

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