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Jean-François Gibrat: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Vincent Poirriez, Rumen Andonov, Antoine Marin, Jean-François Gibrat
    FROST: Revisited and Distributed. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2005, pp:- [Conf]
  2. Vichetra Sam, Chin-Hsien Tai, Jean Garnier, Jean-François Gibrat, Byungkook Lee, Peter J. Munson
    ROC and confusion analysis of structure comparison methods identify the main causes of divergence from manual protein classification. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:206- [Journal]
  3. Juliette Martin, Jean-François Gibrat, François Rodolphe
    Choosing the Optimal Hidden Markov Model for Secondary-Structure Prediction. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 2005, v:20, n:6, pp:19-25 [Journal]
  4. Jean-François Gibrat, Jean Garnier, Nobuhiro Go
    Normal Mode Analysis of Oligomeric Proteins: Reduction of the Memory Requirement by Consideration of Rigid Geomertry and Molecular Symmetry. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Chemistry, 1994, v:15, n:8, pp:820-837 [Journal]
  5. Rumen Andonov, Guillaume Collet, Jean-François Gibrat, Antoine Marin, Vincent Poirriez, Nicola Yanev
    Recent Advances in Solving the Protein Threading Problem [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]

  6. An Adaptive Combination of Matchers: Application to the Mapping of Biological Ontologies for Genome Annotation. [Citation Graph (, )][DBLP]


  7. Mesures Hiérarchiques pondérées pour l’évaluation d’un système semi-automatique d’annotation de génomes utilisant des arbres de décision. [Citation Graph (, )][DBLP]


  8. Protein Threading. [Citation Graph (, )][DBLP]


  9. Can molecular dynamics simulations help in discriminating correct from erroneous protein 3D models? [Citation Graph (, )][DBLP]


  10. Towards an automatic classification of protein structural domains based on structural similarity. [Citation Graph (, )][DBLP]


  11. Amino acid "little Big Bang": Representing amino acid substitution matrices as dot products of Euclidian vectors. [Citation Graph (, )][DBLP]


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