Meta-analysis of muscle transcriptome data using the MADMuscle database reveals biologically relevant gene patterns

Daniel Baron; Emeric Dubois; Audrey Bihouée; Raluca Teusan; Marja Steenman; Philippe Jourdon; Armelle Magot; Yann Péréon; Reiner Veitia; Frédérique Savagner; Gérard Ramstein; Rémi Houlgatte

doi:10.1186/1471-2164-12-113

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Meta-analysis of muscle transcriptome data using the MADMuscle database reveals biologically relevant gene patterns

Daniel Baron^*, Emeric Dubois, Audrey Bihouée, Raluca Teusan, Marja Steenman, Philippe Jourdon, Armelle Magot, Yann Péréon, Reiner Veitia, Frédérique Savagner, Gérard Ramstein and Rémi Houlgatte

* Corresponding author: Daniel Baron daniel.baron@nantes.inserm.fr

BMC Genomics 2011, 12:113 doi:10.1186/1471-2164-12-113

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Meta-analysis of muscle transcriptome data using the MADMuscle database reveals biologically relevant gene patterns

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Meta-analysis of muscle transcriptome data using the MADMuscle database reveals biologically relevant gene patterns