Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
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Section: New Results

Regulation and signaling: detecting complex and discriminant signatures of phenotypes

Participants : Catherine Belleannée, Samuel Blanquart, Célia Biane-Fourati, Nicolas Guillaudeux, Marine Louarn, Maxime Folschette, François Moreews, Anne Siegel, Nathalie Théret, Pierre Vignet, Méline Wery.

Comparative-genomics based prediction of non-model transcriptomes [C. Belleannée, S. Blanquart, N. Guillaudeux] In order to annotate the transcriptome of a non-model species, Canis lupus familiaris, we developed a method to predict whether or not a transcript known in a given species/gene could be expressed in an other species/gene. Exploiting knowledge in human, mouse and dog , we predicted a total of 7201 unknown yet transcripts and interpreted the evolutionary dynamics of gene's isoform sets. [30]

Signaling network identification [M. Folschette, A. Siegel] [22], [17]

Static analysis of ruled-based models [P. Vignet, N. Théret] We used a model of TGF-β to illustrate the main features of Kasa, a static analyzer for Kappa models. Kappa is a rule based language that describes systems of mechanistic interactions between proteins by the means of site-graph rewriting rules. The cornerstone of KaSa is a fix-point engine which detects some patterns that may never occur whatever the evolution of the system may be [18].