| pubmed-article:20598134 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:20598134 | lifeskim:mentions | umls-concept:C0205147 | lld:lifeskim |
| pubmed-article:20598134 | lifeskim:mentions | umls-concept:C1511726 | lld:lifeskim |
| pubmed-article:20598134 | lifeskim:mentions | umls-concept:C0002045 | lld:lifeskim |
| pubmed-article:20598134 | pubmed:dateCreated | 2010-7-30 | lld:pubmed |
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| pubmed-article:20598134 | pubmed:abstractText | Protein-DNA interaction constitutes a basic mechanism for the genetic regulation of target gene expression. Deciphering this mechanism has been a daunting task due to the difficulty in characterizing protein-bound DNA on a large scale. A powerful technique has recently emerged that couples chromatin immunoprecipitation (ChIP) with next-generation sequencing, (ChIP-Seq). This technique provides a direct survey of the cistrom of transcription factors and other chromatin-associated proteins. In order to realize the full potential of this technique, increasingly sophisticated statistical algorithms have been developed to analyze the massive amount of data generated by this method. | lld:pubmed |
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| pubmed-article:20598134 | pubmed:language | eng | lld:pubmed |
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| pubmed-article:20598134 | pubmed:citationSubset | IM | lld:pubmed |
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| pubmed-article:20598134 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:20598134 | pubmed:issn | 1471-2105 | lld:pubmed |
| pubmed-article:20598134 | pubmed:author | pubmed-author:ChinnaiyanAru... | lld:pubmed |
| pubmed-article:20598134 | pubmed:author | pubmed-author:QinZhaohui... | lld:pubmed |
| pubmed-article:20598134 | pubmed:author | pubmed-author:YuJindanJ | lld:pubmed |
| pubmed-article:20598134 | pubmed:author | pubmed-author:HuMingM | lld:pubmed |
| pubmed-article:20598134 | pubmed:author | pubmed-author:YuJianjunJ | lld:pubmed |
| pubmed-article:20598134 | pubmed:author | pubmed-author:Kalyana-Sunda... | lld:pubmed |
| pubmed-article:20598134 | pubmed:author | pubmed-author:MaherChristop... | lld:pubmed |
| pubmed-article:20598134 | pubmed:author | pubmed-author:ShenJinchengJ | lld:pubmed |
| pubmed-article:20598134 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:20598134 | pubmed:volume | 11 | lld:pubmed |
| pubmed-article:20598134 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:20598134 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:20598134 | pubmed:pagination | 369 | lld:pubmed |
| pubmed-article:20598134 | pubmed:dateRevised | 2011-8-1 | lld:pubmed |
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| pubmed-article:20598134 | pubmed:year | 2010 | lld:pubmed |
| pubmed-article:20598134 | pubmed:articleTitle | HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data. | lld:pubmed |
| pubmed-article:20598134 | pubmed:affiliation | Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, 48109-2029, USA. qin@umich.edu | lld:pubmed |
