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GeMCore, a Knowledge Base Dedicated to Mapping Mammalian Genomes

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Computational Biology (JOBIM 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2066))

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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.

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© 2001 Springer-Verlag Berlin Heidelberg

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Bronner, G., Spataro, B., Gautier, C., Rechenmann, F. (2001). GeMCore, a Knowledge Base Dedicated to Mapping Mammalian Genomes. In: Gascuel, O., Sagot, MF. (eds) Computational Biology. JOBIM 2000. Lecture Notes in Computer Science, vol 2066. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45727-5_2

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  • DOI: https://doi.org/10.1007/3-540-45727-5_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42242-6

  • Online ISBN: 978-3-540-45727-5

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