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    BMCBI
    2008
    170views more  BMCBI 2008»
    Evaluation of GO-based functional similarity measures using S. cerevisiae protein interaction and expression profile data
    13 years 11 months ago
    Evaluation of GO-based functional similarity measures using S. cerevisiae protein interaction and expression profile data
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    Background: Researchers interested in analysing the expression patterns of functionally related genes usually hope to improve the accuracy of their results beyond the boundaries o...
    Tao Xu, LinFang Du, Yan Zhou
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    BMCBI
    2008
    220views more  BMCBI 2008»
    Gene prediction in metagenomic fragments: A large scale machine learning approach
    13 years 11 months ago
    Gene prediction in metagenomic fragments: A large scale machine learning approach
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    Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
    Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
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    BMCBI
    2008
    116views more  BMCBI 2008»
    Clustering exact matches of pairwise sequence alignments by weighted linear regression
    13 years 11 months ago
    Clustering exact matches of pairwise sequence alignments by weighted linear regression
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    Background: At intermediate stages of genome assembly projects, when a number of contigs have been generated and their validity needs to be verified, it is desirable to align thes...
    Alvaro J. González, Li Liao
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    BMCBI
    2008
    103views more  BMCBI 2008»
    Detection of protein catalytic residues at high precision using local network properties
    13 years 11 months ago
    Detection of protein catalytic residues at high precision using local network properties
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    Background: Identifying the active site of an enzyme is a crucial step in functional studies. While protein sequences and structures can be experimentally characterized, determini...
    Patrick Slama, Ioannis Filippis, Michael Lappe
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    BMCBI
    2008
    160views more  BMCBI 2008»
    Predicting cancer involvement of genes from heterogeneous data
    13 years 11 months ago
    Predicting cancer involvement of genes from heterogeneous data
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    Background: Systematic approaches for identifying proteins involved in different types of cancer are needed. Experimental techniques such as microarrays are being used to characte...
    Ramon Aragues, Chris Sander, Baldo Oliva
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