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Integration of data and methods for genome analysis.

Patrick Durand 1 Claudine Médigue 2 Anne Morgat 3 Yves Vandenbrouck 4 Alain Viari 5 François Rechenmann 6
1 SYMBIOSE - Biological systems and models, bioinformatics and sequences
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
3 HELIX - Computer science and genomics
Inria Grenoble - Rhône-Alpes, LBBE - Laboratoire de Biométrie et Biologie Evolutive - UMR 5558
6 IBIS - Modeling, simulation, measurement, and control of bacterial regulatory networks
LAPM - Laboratoire Adaptation et pathogénie des micro-organismes [Grenoble], Inria Grenoble - Rhône-Alpes, Institut Jean Roget
Abstract : The development of genomic and post-genomic technologies has created an explosion in the quantity, diversity and availability of both biological data and methods of analysis. Biologists are currently facing the problem of using all these resources to convert raw data into new valuable knowledge. This review presents software platforms designed to handle data and/or methods in the context of genome analysis.
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Contributor : Yves Vandenbrouck <>
Submitted on : Tuesday, March 19, 2019 - 12:03:19 PM
Last modification on : Tuesday, July 20, 2021 - 5:20:02 PM


  • HAL Id : hal-02072584, version 1
  • PUBMED : 12833667


Patrick Durand, Claudine Médigue, Anne Morgat, Yves Vandenbrouck, Alain Viari, et al.. Integration of data and methods for genome analysis.. Current Opinion in Drug Discovery and Development, Thomson Reuters (Professional), 2003, 6 (3), pp.346-52. ⟨hal-02072584⟩



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