PMID:12824371: Difference between revisions

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<span style = 'font-size: large'> '''Sinha, S and Tompa, M'''  (2003) YMF: A program for discovery of novel transcription factor binding sites by statistical overrepresentation.''Nucleic Acids Res.'' '''31''':3586-8</span>
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|{{TableHeadingColor}} |'''Abstract''' || <protect>A fundamental challenge facing biologists is to identify DNA binding sites for unknown regulatory factors, given a collection of genes believed to be coregulated. The program YMF identifies good candidates for such binding sites by searching for statistically overrepresented motifs. More specifically, YMF enumerates all motifs in the search space and is guaranteed to produce those motifs with greatest z-scores. This note describes the YMF web software, available at http://bio.cs.washington.edu/software.html.</protect>
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'''Sinha, S and Tompa, M''' (2003) YMF: A program for discovery of novel transcription factor binding sites by statistical overrepresentation. ''Nucleic Acids Res.'' '''31''':3586-8
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|{{TableHeadingColor}} nowrap |'''Links''' || [http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=12824371 PubMed]<br/>
!align=left  |Abstract
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A fundamental challenge facing biologists is to identify DNA binding sites for unknown regulatory factors, given a collection of genes believed to be coregulated. The program YMF identifies good candidates for such binding sites by searching for statistically overrepresented motifs. More specifically, YMF enumerates all motifs in the search space and is guaranteed to produce those motifs with greatest z-scores. This note describes the YMF web software, available at http://bio.cs.washington.edu/software.html.
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[http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=12824371 PubMed] [http://www.ncbi.nlm.nih.gov/pmc/articles/PMC169024 PMC169024]
 
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!align=left  |Keywords
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Algorithms; Binding Sites; Data Interpretation, Statistical; Internet; Mycobacterium tuberculosis/genetics; Promoter Regions, Genetic; Regulatory Sequences, Nucleic Acid; Saccharomyces cerevisiae/genetics; Sequence Analysis, DNA/methods; Software; Transcription Factors/metabolism; User-Computer Interface
 
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Latest revision as of 04:20, 15 September 2013

Citation

Sinha, S and Tompa, M (2003) YMF: A program for discovery of novel transcription factor binding sites by statistical overrepresentation. Nucleic Acids Res. 31:3586-8

Abstract

A fundamental challenge facing biologists is to identify DNA binding sites for unknown regulatory factors, given a collection of genes believed to be coregulated. The program YMF identifies good candidates for such binding sites by searching for statistically overrepresented motifs. More specifically, YMF enumerates all motifs in the search space and is guaranteed to produce those motifs with greatest z-scores. This note describes the YMF web software, available at http://bio.cs.washington.edu/software.html.

Links

PubMed PMC169024

Keywords

Algorithms; Binding Sites; Data Interpretation, Statistical; Internet; Mycobacterium tuberculosis/genetics; Promoter Regions, Genetic; Regulatory Sequences, Nucleic Acid; Saccharomyces cerevisiae/genetics; Sequence Analysis, DNA/methods; Software; Transcription Factors/metabolism; User-Computer Interface

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