GREAT improves functional interpretation of cis-regulatory regions View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-05-02

AUTHORS

Cory Y McLean, Dave Bristor, Michael Hiller, Shoa L Clarke, Bruce T Schaar, Craig B Lowe, Aaron M Wenger, Gill Bejerano

ABSTRACT

ChIP-Seq data are usually analyzed with approaches developed for microarrays, which only consider binding events within a few kilobases of a gene. McLean et al. present an algorithm that takes into account more distant events, thereby improving functional annotation of regulatory regions.

PAGES

495-501

References to SciGraph publications

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  • 2006-11-13. cPath: open source software for collecting, storing, and querying biological pathways in BMC BIOINFORMATICS
  • 2007-06. Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project in NATURE
  • 2006-04-16. A distal enhancer and an ultraconserved exon are derived from a novel retroposon in NATURE
  • 2008-03-23. Fine mapping of regulatory loci for mammalian gene expression using radiation hybrids in NATURE GENETICS
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  • 2008-08-17. Genome-wide analysis of transcription factor binding sites based on ChIP-Seq data in NATURE METHODS
  • Journal

    TITLE

    Nature Biotechnology

    ISSUE

    5

    VOLUME

    28

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nbt.1630

    DOI

    http://dx.doi.org/10.1038/nbt.1630

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1023421025

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/20436461


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