Section: Partnerships and Cooperations
National Initiatives
ANR
Aster
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Title: Algorithms and Software for Third gEneration Rna sequencing
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Coordinator: Hélène Touzet, University of Lille and Inria EPI Bonsai.
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ERABLE participants: Vincent Lacroix (ERABLE coordinator), Clara Benoît-Pilven, Audric Cologne, Alex di Genova, Leandro I. S. de Lima, Arnaud Mary, Marie-France Sagot, Camille Sessegolo, Blerina Sinaimeri.
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Web page: http://bioinfo.cristal.univ-lille.fr/aster/.
ExHyb
GraphEn
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Title: Enumération dans les graphes et les hypergraphes : Algorithmes et complexité
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Web page: http://graphen.isima.fr/
Green
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Title: Deciphering host immune gene regulation and function to target symbiosis disturbance and endosymbiont control in insect pests
Hmicmac
IMetSym
Resist
Suzukill
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Title: Managing cold tolerance and quality of mass-produced Drosophila suzukii flies to facilitate the application of biocontrol through incompatible and sterile insect techniques
Swing
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Title: Worldwide invasion of the Spotted WING Drosophila: Genetics, plasticity and evolutionary potential
ADT Inria
ADT Inria Kirikomics
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Main objective: Development of a portal to increase the visibility of the tools and resources elaborated by Erable around the analysis – using omics data – of metabolic networks modelled by hypergraphs, and enable to visualise the results. (the web page is for now private, it will be made public later in the project).
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Person responsible for ADT: Arnaud Mary with David Parsons (Inria).
Others
Notice that were included here national projects of our members from Italy and the Netherlands when these have no other partners than researchers from the same country.
Advanced computational methodologies for the analysis of biomedical data
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Title: Advanced computational methodologies for the analysis of biomedical data
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Type: PRA, MIUR PRIN, Italian Ministery of Research National Projects (2017-2018)
Advanced Tools and Techniques for the analysis of criminal networks
Amanda
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Type: MIUR PRIN, Italian Ministery of Research National Projects (2014-2017)
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Web page: http://www.dia.uniroma3.it/~amanda/
CMACBioSeq
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Title: Combinatorial Methods for analysis and compression of biological sequences
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Type: SIR, MIUR PRIN, Italian Ministery of Research National Projects (2015-2019)
Statistical Models for Structural Genetic Variants in the Genome of the Netherlands
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Title: Statistical Models for Structural Genetic Variants in the Genome of the Netherlands
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Type: Nederlandse Wetenschappelijke Organisatie (NWO) (2013-2018)