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rdf:type |
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lifeskim:mentions |
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pubmed:dateCreated |
2004-5-14
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pubmed:abstractText |
Functional genomics studies are yielding information about regulatory processes in the cell at an unprecedented scale. In the yeast S. cerevisiae, DNA microarrays have not only been used to measure the mRNA abundance for all genes under a variety of conditions but also to determine the occupancy of all promoter regions by a large number of transcription factors. The challenge is to extract useful information about the global regulatory network from these data.
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/15113405-10586882,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15113405-10657304,
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http://linkedlifedata.com/resource/pubmed/commentcorrection/15113405-9915498
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:chemical |
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pubmed:status |
MEDLINE
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pubmed:month |
Mar
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pubmed:issn |
1471-2105
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:day |
18
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pubmed:volume |
5
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
31
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pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading |
pubmed-meshheading:15113405-Algorithms,
pubmed-meshheading:15113405-Computational Biology,
pubmed-meshheading:15113405-DNA, Fungal,
pubmed-meshheading:15113405-Gene Expression Profiling,
pubmed-meshheading:15113405-Gene Expression Regulation, Fungal,
pubmed-meshheading:15113405-Genes, Fungal,
pubmed-meshheading:15113405-Models, Genetic,
pubmed-meshheading:15113405-Oligonucleotide Array Sequence Analysis,
pubmed-meshheading:15113405-Promoter Regions, Genetic,
pubmed-meshheading:15113405-RNA, Fungal,
pubmed-meshheading:15113405-RNA, Messenger,
pubmed-meshheading:15113405-Saccharomyces cerevisiae,
pubmed-meshheading:15113405-Saccharomyces cerevisiae Proteins,
pubmed-meshheading:15113405-Transcription, Genetic,
pubmed-meshheading:15113405-Transcription Factors
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pubmed:year |
2004
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pubmed:articleTitle |
Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data.
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pubmed:affiliation |
Department of Biological Sciences, Columbia University, New York, New York 10027, USA. fg2037@columbia.edu
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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