Gene function prediction based on genomic context clustering and discriminative learning: an application to bacteriophages-0

<p><b>Copyright information:</b></p><p>Taken from "Gene function prediction based on genomic context clustering and discriminative learning: an application to bacteriophages"</p><p>http://www.biomedcentral.com/1471-2105/8/S4/S6</p><p>BMC Bioinformatics 2007;8(Suppl 4):S6-S6.</p><p>Published online 22 May 2007</p><p>PMCID:PMC1892085.</p><p></p>s (A) specified in the form of regular expressions are matched against the genome database (B) via the text processing unit (D), which result may then be refined (C). A clustering system (E) based on the synteny scores of the matching genes brings together genomes that show conservation of gene order and position (G). Such information is used to generate a set of positive and negative data (genes) to train the classification system (F) that produces function prediction results (H)