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GeMCore, a Knowledge Base Dedicated to Mapping Mammalian Genomes

  • Gisèle Bronner
  • Bruno Spataro
  • Christian Gautier
  • François Rechenmann
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2066)

Abstract

Representing genomic mapping knowledge is a complex process due to the diversity of experimental approaches. The lack of obvious equivalence between different kinds of maps1 makes it difficult to use them simultaneously or in a cooperative way. Furthermore, comparative mapping is not limited to map comparison, it also implies the comparison of the elements they are composed of. Comparison thus implies the combination of different computational objects, corresponding to different levels of information. However, from the user’s point of view, systems devoted to comparative mapping should appear to process queries in a homogeneous manner, whatever the objects they imply. We propose a data model that integrates mapping data, genetical data and sequences and takes into account the specific constraints resulting from the comparison of maps between and within different species.

Keywords

Comparative Mapping Gene Symbol Hierarchy Class Biological Element Mouse Genome Database 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Gisèle Bronner
    • 1
    • 2
  • Bruno Spataro
    • 1
  • Christian Gautier
    • 1
  • François Rechenmann
    • 2
  1. 1.Laboratoire de Biométrie et Biologie Évolutive, UMR ― CNRS 5558Université Claude Bernard Lyon1Villeurbanne cedexFrance
  2. 2.INRIA Rhône AlpesSt MartinFrance

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