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Bioinformatics
Article . 2009 . Peer-reviewed
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Bioinformatics
Article
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Bioinformatics
Article . 2010
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Ceres: software for the integrated analysis of transcription factor binding sites and nucleosome positions in Saccharomyces cerevisiae

Authors: MORRIS, Robert T; O'CONNOR, Timothy R; WYRICK, John J;

Ceres: software for the integrated analysis of transcription factor binding sites and nucleosome positions in Saccharomyces cerevisiae

Abstract

Abstract Motivation: There is accumulating evidence that the chromatin environment of transcription factor (TF) binding sites in promoter regions has a critical influence on their regulatory potential. Recent studies have mapped TF binding sites and nucleosome positions throughout the yeast genome; however, there is a lack of computation tools to integrate these data types. Results: We have developed the Ceres software to facilitate the integrated analysis of TF binding sites and nucleosome positions in the model eukaryote S.cerevisiae. Ceres enables users to dynamically display the spatial organization of TF binding sites and nucleosome positions of individual genes, or the average profiles for large gene sets. Ceres provides novel statistical tools to test for the enrichment of TF binding sites and chromatin environments for user-selected gene sets. Ceres also enables users to search the genome for combinations of TF binding sites that are associated with specific chromatin environments. Preliminary analysis using the Ceres software indicates that functional and conserved TF binding sites are often associated with specific chromatin environments. Availability: http://bioinformatics1.smb.wsu.edu/Ceres Contact: jwyrick@wsu.edu Supplementary information: Supplementary data are available at Bioinformatics online.

Country
United States
Related Organizations
Keywords

570, Binding Sites, Saccharomyces cerevisiae Proteins, Computational Biology, Saccharomyces cerevisiae, Fundamental and applied biological sciences. Psychology, General aspects, Chromatin, 004, Nucleosomes, Genome, Fungal, Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects), Databases, Protein, Biological and medical sciences, Software, Transcription Factors

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Average
Average
Top 10%
gold