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Bioinformatics
Article
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Hal
Article . 2005
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Bioinformatics
Article . 2005 . Peer-reviewed
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Bioinformatics
Article . 2005
DBLP
Article
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Discrimination of yeast genes involved in methionine and phosphate metabolism on the basis of upstream motifs

Authors: Gonze, Didier; Pinloche, Sylvie; Gascuel, Olivier; van Helden, Jacques;

Discrimination of yeast genes involved in methionine and phosphate metabolism on the basis of upstream motifs

Abstract

In yeast, methionine and phosphate metabolism are regulated by the complexes Met4p/Met28p/Cbf1p and Pho4p, respectively. The binding sites for these factors share a common core CACGTG. We evaluate our capability to discriminate phosphate- and methionine-responding genes on the basis of putative regulatory elements, despite the similarity between Met4p/Met28p/Cbf1p and Pho4p consensus.We scanned upstream regions of methionine, phosphate and control genes with position-specific weight matrices for Pho4p, Met4p/Met28p/Cbf1p and Met31p/Met32p, and applied discriminant analysis to classify genes according to matrix matching scores. This analysis showed that matrix scores provided a good discrimination between phosphate, methionine and control genes. The optimal parameters have then been used to predict phosphate and methionine regulation at a genome scale. The genome-scale analysis predicts 37 genes as methionine-regulated and 40 as phosphate-regulated. We compare the predictive results with high throughput data and discuss the difference.The programs for sequence retrieval and analysis, as well as the complete data and results, are available on the website on regulatory sequence analysis tools (http://rsat.scmbb.ulb.ac.be/rsat/).jvanheld@scmbb.ulb.ac.beThe complete datasets and results are available at http://rsat.scmbb.ulb.ac.be/rsat/data/published_data/Gonze_MET_PHO/

Country
Belgium
Keywords

Saccharomyces cerevisiae Proteins, Gene Expression Profiling, Molecular Sequence Data, Discriminant Analysis, Sciences bio-médicales et agricoles, Protein -- methods, Phosphates, Methionine, Gene Expression Regulation, Sequence Analysis, Protein, Amino Acid Sequence, Sequence Analysis, Algorithms, Sciences exactes et naturelles, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], Oligonucleotide Array Sequence Analysis

  • BIP!
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    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).
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    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.
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    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!
11
Average
Average
Top 10%
Green
bronze