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    BMCBI
    2008
    111views more  BMCBI 2008»
    VisualRepbase: an interface for the study of occurrences of transposable element families
    13 years 11 months ago
    VisualRepbase: an interface for the study of occurrences of transposable element families
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    Background: Repbase is a reference database of eukaryotic repetitive DNA, which includes prototypic sequences of repeats and basic information described in annotations. Repbase al...
    Sébastien Tempel, Matthew Jurka, Jerzy Jurk...
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    BMCBI
    2007
    97views more  BMCBI 2007»
    In situ analysis of cross-hybridisation on microarrays and the inference of expression correlation
    13 years 11 months ago
    In situ analysis of cross-hybridisation on microarrays and the inference of expression correlation
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    Background: Microarray co-expression signatures are an important tool for studying gene function and relations between genes. In addition to genuine biological co-expression, corr...
    Tineke Casneuf, Yves Van de Peer, Wolfgang Huber
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    BMCBI
    2008
    128views more  BMCBI 2008»
    Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure
    13 years 11 months ago
    Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure
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    Background: Amino acid sequence probability distributions, or profiles, have been used successfully to predict secondary structure and local structure in proteins. Profile models ...
    Christopher Bystroff, Bobbie-Jo M. Webb-Robertson
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    BMCBI
    2008
    105views more  BMCBI 2008»
    Using the longest significance run to estimate region-specific p-values in genetic association mapping studies
    13 years 11 months ago
    Using the longest significance run to estimate region-specific p-values in genetic association mapping studies
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    Background: Association testing is a powerful tool for identifying disease susceptibility genes underlying complex diseases. Technological advances have yielded a dramatic increas...
    Ie-Bin Lian, Yi-Hsien Lin, Ying-Chao Lin, Hsin-Cho...
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    BMCBI
    2007
    91views more  BMCBI 2007»
    A machine learning approach for the identification of odorant binding proteins from sequence-derived properties
    13 years 11 months ago
    A machine learning approach for the identification of odorant binding proteins from sequence-derived properties
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    Background: Odorant binding proteins (OBPs) are believed to shuttle odorants from the environment to the underlying odorant receptors, for which they could potentially serve as od...
    Ganesan Pugalenthi, E. Ke Tang, Ponnuthurai N. Sug...
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