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Machine learning techniques to identify putative genes involved in nitrogen catabolite repression in the yeast Saccharomyces cerevisiae.

par Kontos, Kevin ;Godard, Patrice ;André, Bruno ;van Helden, Jacques ;Bontempi, Gianluca
Référence B M C Proceedings, 2 Suppl 4, page (S5)
Publication Publié, 2008

Article révisé par les pairs

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Résumé :

Nitrogen is an essential nutrient for all life forms. Like most unicellular organisms, the yeast Saccharomyces cerevisiae transports and catabolizes good nitrogen sources in preference to poor ones. Nitrogen catabolite repression (NCR) refers to this selection mechanism. All known nitrogen catabolite pathways are regulated by four regulators. The ultimate goal is to infer the complete nitrogen catabolite pathways. Bioinformatics approaches offer the possibility to identify putative NCR genes and to discard uninteresting genes.