Utz J Pape

Summary

Affiliation: Max Planck Institute for Molecular Genetics
Country: Germany

Publications

  1. ncbi A new statistical model to select target sequences bound by transcription factors
    Utz J Pape
    Computational Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
    Genome Inform 17:134-40. 2006
  2. ncbi Natural similarity measures between position frequency matrices with an application to clustering
    Utz J Pape
    Computational Biology, Max Planck Institute f Molecular Genetics, Ihnestr 73, 14195 Berlin, Germany
    Bioinformatics 24:350-7. 2008
  3. ncbi Compound poisson approximation of the number of occurrences of a position frequency matrix (PFM) on both strands
    Utz J Pape
    Computational Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
    J Comput Biol 15:547-64. 2008
  4. ncbi Statistical detection of cooperative transcription factors with similarity adjustment
    Utz J Pape
    Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Ihnestr 73 and Mathematics and Computer Science, Free University of Berlin, Takustr 9, 14195 Berlin, Germany
    Bioinformatics 25:2103-9. 2009
  5. ncbi Prediction of cardiac transcription networks based on molecular data and complex clinical phenotypes
    Martje Toenjes
    Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Ihnestr 73, 14195 Berlin, Germany
    Mol Biosyst 4:589-98. 2008

Collaborators

Detail Information

Publications5

  1. ncbi A new statistical model to select target sequences bound by transcription factors
    Utz J Pape
    Computational Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
    Genome Inform 17:134-40. 2006
    ..Two examples show the necessity of such a model as well as the superiority of the proposed method compared to standard approaches...
  2. ncbi Natural similarity measures between position frequency matrices with an application to clustering
    Utz J Pape
    Computational Biology, Max Planck Institute f Molecular Genetics, Ihnestr 73, 14195 Berlin, Germany
    Bioinformatics 24:350-7. 2008
    ..Furthermore, we introduce a second measure based on the same idea to cluster a set of the Jaspar PFMs...
  3. ncbi Compound poisson approximation of the number of occurrences of a position frequency matrix (PFM) on both strands
    Utz J Pape
    Computational Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
    J Comput Biol 15:547-64. 2008
    ..In general, our approach outperforms these approximations or is equally good but significantly faster. An implementation of our approach is available at http://mosta.molgen.mpg.de...
  4. ncbi Statistical detection of cooperative transcription factors with similarity adjustment
    Utz J Pape
    Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Ihnestr 73 and Mathematics and Computer Science, Free University of Berlin, Takustr 9, 14195 Berlin, Germany
    Bioinformatics 25:2103-9. 2009
    ..However, similar DNA motifs tend to co-occur in random sequences due to high probability of overlapping occurrences. Therefore, it is important to consider similarity of DNA motifs in the statistical assessment...
  5. ncbi Prediction of cardiac transcription networks based on molecular data and complex clinical phenotypes
    Martje Toenjes
    Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Ihnestr 73, 14195 Berlin, Germany
    Mol Biosyst 4:589-98. 2008
    ..Several of the found interactions have been previously described in literature, demonstrating that the approach is a versatile tool to predict regulatory networks...