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    BMCBI
    2006
    160views more  BMCBI 2006»
    Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources
    13 years 5 months ago
    Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources
    Download  www.biomedcentral.com
    Background: In order to improve gene prediction, extrinsic evidence on the gene structure can be collected from various sources of information such as genome-genome comparisons an...
    Mario Stanke, Oliver Schöffmann, Burkhard Mor...
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    ALMOB
    2006
    155views more  ALMOB 2006»
    A phylogenetic generalized hidden Markov model for predicting alternatively spliced exons
    13 years 5 months ago
    A phylogenetic generalized hidden Markov model for predicting alternatively spliced exons
    Download  www.almob.org
    Background: An important challenge in eukaryotic gene prediction is accurate identification of alternatively spliced exons. Functional transcripts can go undetected in gene expres...
    Jonathan E. Allen, Steven L. Salzberg
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    BMCBI
    2005
    87views more  BMCBI 2005»
    Efficient decoding algorithms for generalized hidden Markov model gene finders
    13 years 5 months ago
    Efficient decoding algorithms for generalized hidden Markov model gene finders
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    Background: The Generalized Hidden Markov Model (GHMM) has proven a useful framework for the task of computational gene prediction in eukaryotic genomes, due to its flexibility an...
    William H. Majoros, Mihaela Pertea, Arthur L. Delc...
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    BMCBI
    2006
    118views more  BMCBI 2006»
    Automatic generation of gene finders for eukaryotic species
    13 years 5 months ago
    Automatic generation of gene finders for eukaryotic species
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    Background: The number of sequenced eukaryotic genomes is rapidly increasing. This means that over time it will be hard to keep supplying customised gene finders for each genome. ...
    Kasper Munch, Anders Krogh
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    BMCBI
    2006
    119views more  BMCBI 2006»
    Hidden Markov Model Variants and their Application
    13 years 5 months ago
    Hidden Markov Model Variants and their Application
    Download  www.cs.uno.edu
    Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
    Stephen Winters-Hilt
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