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Research Article

Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning

  • Gunnar Rätsch mail,

    To whom correspondence should be addressed. E-mail: Gunnar.Raetsch@tuebingen.mpg.de

    Affiliation: Friedrich Miescher Laboratory, Max Planck Society, Tübingen, Germany

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  • Sören Sonnenburg,

    Affiliation: Fraunhofer FIRST, Berlin, Germany

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  • Jagan Srinivasan,

    Affiliation: Division of Biology, California Institute of Technology, Pasadena, California, United States of America

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  • Hanh Witte,

    Affiliation: Max Planck Institute for Developmental Biology, Tübingen, Germany

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  • Klaus-R Müller,

    Affiliations: Fraunhofer FIRST, Berlin, Germany, Computer Science Department, Technical University of Berlin, Berlin, Germany

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  • Ralf-J Sommer,

    Affiliation: Max Planck Institute for Developmental Biology, Tübingen, Germany

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  • Bernhard Schölkopf

    Affiliation: Max Planck Institute for Biological Cybernetics, Tübingen, Germany

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  • Published: February 23, 2007
  • DOI: 10.1371/journal.pcbi.0030020

About the Authors

Gunnar Rätsch
Friedrich Miescher Laboratory, Max Planck Society, Tübingen, Germany
Sören Sonnenburg, Klaus-R Müller
Fraunhofer FIRST, Berlin, Germany
Jagan Srinivasan
Division of Biology, California Institute of Technology, Pasadena, California, United States of America
Hanh Witte, Ralf-J Sommer
Max Planck Institute for Developmental Biology, Tübingen, Germany
Klaus-R Müller
Computer Science Department, Technical University of Berlin, Berlin, Germany
Bernhard Schölkopf
Max Planck Institute for Biological Cybernetics, Tübingen, Germany

Corresponding Author

Email: Gunnar.Raetsch@tuebingen.mpg.de

Competing Interests

GR, SS, KRM, and BS are authors of a patent application (PCT WO05116246) related to the technical innovations of the proposed method.

Author Contributions

GR, SS, JS, KRM, RJS, and BS conceived and designed the experiments. GR, JS, and HW performed the experiments. GR and SS analyzed the data. SS, RJS, and BS contributed reagents/materials/analysis tools. GR, JS, KRM, RJS, and BS wrote the paper. SS and JS contributed equally to the paper.