title: Integration of data and methods for genome analysis.
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.
authors.affiliation: Hybrigenics 3-5 Impasse Reille, 75014 Paris, France. pdurand@hybrigenics.fr
authors.forename: Patrick
authors.initials: P
authors.lastname: Durand
authors.forename: Claudine
authors.initials: C
authors.lastname: Médigue
authors.forename: Anne
authors.initials: A
authors.lastname: Morgat
authors.forename: Yves
authors.initials: Y
authors.lastname: Vandenbrouck
authors.forename: Alain
authors.initials: A
authors.lastname: Viari
authors.forename: François
authors.initials: F
authors.lastname: Rechenmann
mesh_terms: D000818:Animals; D003628:Database Management Systems / Q000639:trends; D030541:Databases, Genetic / Q000639:trends; D016678:Genome; D015894:Genome, Human; D006801:Humans; D017422:Sequence Analysis, DNA / Q000379:methods* / Q000639:trends