5 research outputs found

    A darker color indicates a stronger association between the phage and the phage group

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    Association strength is determined by proteomic distance for PPT and gene-distribution distance for O-HARP. For instance, phage bIL170 has a darker grey than bIL67 in the sk1-like group for the alphabet letter "P" because it has a closer proteomic distance to phage sk1. Phage 933W has a light grey for "O" because its gene distribution (computed by O-HARP) is not as close to phage as some other phages such as HK97 and P22. Abbreviation: Φ – Bacteriophage.<p><b>Copyright information:</b></p><p>Taken from "Genome classification by gene distribution: An overlapping subspace clustering approach"</p><p>http://www.biomedcentral.com/1471-2148/8/116</p><p>BMC Evolutionary Biology 2008;8():116-116.</p><p>Published online 23 Apr 2008</p><p>PMCID:PMC2383906.</p><p></p

    Listed under each pattern are examples of phage members for that pattern

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    Prophages are underlined. The strongly positionally conserved genes are depicted with circles. The inclined gene symbols (e.g. prt) depict genes that are conserved in terms of position and existence among most, but not all, of the phage members.<p><b>Copyright information:</b></p><p>Taken from "Genome classification by gene distribution: An overlapping subspace clustering approach"</p><p>http://www.biomedcentral.com/1471-2148/8/116</p><p>BMC Evolutionary Biology 2008;8():116-116.</p><p>Published online 23 Apr 2008</p><p>PMCID:PMC2383906.</p><p></p

    The overall process of detecting subspace clusters from a collection of genome sequences

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    <p><b>Copyright information:</b></p><p>Taken from "Genome classification by gene distribution: An overlapping subspace clustering approach"</p><p>http://www.biomedcentral.com/1471-2148/8/116</p><p>BMC Evolutionary Biology 2008;8():116-116.</p><p>Published online 23 Apr 2008</p><p>PMCID:PMC2383906.</p><p></p

    Similarity in genomic structure between bacteriophage TP901-1 and Sfi21

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    <p><b>Copyright information:</b></p><p>Taken from "Genome classification by gene distribution: An overlapping subspace clustering approach"</p><p>http://www.biomedcentral.com/1471-2148/8/116</p><p>BMC Evolutionary Biology 2008;8():116-116.</p><p>Published online 23 Apr 2008</p><p>PMCID:PMC2383906.</p><p></p

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

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    <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)
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