Team List
Handles creating, reading and updating teams.
GET /api/team/?format=api&offset=40&ordering=scientificLeaders
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Elle a mis en place des procédures de contrôle qualité des échantillons à analyser. Elle dessine et automatise des pipelines d'analyse pour les données de génomique qu'elle reçoit.", "expertise": [], "expertise_description": "", "linkCovid19": "", "homepage": "http://www.synergielyoncancer.fr/", "unitId": "", "address": "28 rue Laënnec\r\nFondation Synergie Lyon Cancer, Bât. 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It is a team of the INRAE MIAT unit, part of the MathNum department and member of BioinfOmics (IR INRAE). It has been set up in 2000. Since 2009, it is one of the 13 IBISA bioinformatics platforms. Its missions are to provide computing and storage infrastructure dedicated to bioinformatics (software and databases are available on request) to approximately 1 200 users, to support biologists' projects mainly through collaboration and training, and to develop software for biologists and bioinformaticians.\r\nThe computing and storage infrastructure is composed by around 5000 cores, 83 Tera Byte memory and more than 7.5 Peta Byte disk space.", "expertise": [ "http://edamontology.org/topic_0091" ], "expertise_description": "The GenoToul bioinformatics facility provides access to high-performance computing resources, data analysis and programming expertise. Its permanent staff has many years of experience in supporting scientific programmes in biology and bioinformatics. 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We have created a new data structure capable of organizing reads for very quickly queries and developed a software (called CRAC) noticed by Nature as a competitor over existing softwares for the analysis of RNA-Seq data (CRAC, Star, …).\r\n\r\n* Transcriptomics - RNA-Seq\r\n* Kmers analysis\r\n - [Transipedia](https://transipedia.fr)", "expertise": [ "http://edamontology.org/topic_3170", "http://edamontology.org/topic_0091", "http://edamontology.org/topic_0203", "http://edamontology.org/topic_0659" ], "expertise_description": "", "linkCovid19": "", "homepage": "https://bio2m.fr", "unitId": "", "address": "BioInformatiques et BioMarqueurs\r\nINSERM U1183\r\nIRMB - Institut de Médecine Regénérative et Biothérapie\r\nHôpital Saint-Eloi\r\n80, av. 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IFB-Core also acts as the point of contact for the ELIXIR network, of which IFB is the French node (ELIXIR-FR). The IFB-core UAR serves as an interface with various stakeholders in order to set up and administer a multi-site national IT infrastructure (National Network of Computing Resources, NNCR) aimed at pooling resources and bringing together life science communities around tools tailored to their needs.", "expertise": [], "expertise_description": "IFB-core provides scientific, technical and administrative coordination for the infrastructure. The unit manages the administrative requirements of IFB/ELIXIR-FR, coordinates the national network of bioinformatics computing and storage infrastructures, structures the pooling of tools, services and training for the community, and represents France within ELIXIR.", "linkCovid19": "", "homepage": "https://www.ifb-elixir.fr/", "unitId": "UAR_3601", "address": "IFB-core\r\n7 rue Guy Moquet", "city": "Villejuif", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 62, "name": "CEA", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CEA/?format=api" }, { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "id": 56, "name": "INSERM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api" }, { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" } ], "publications": [ "" ], 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Recent years have in this context witnessed the accumulation of omics approaches and datasets. Biomedicine is further transitioning from multiomics to multimodal datasets: data are not only available at the molecular omics level, as we now have access to signals and images, but also to various datasets related to disease phenotypes, health databases, or drug chemical similarities. The bottleneck now lies in the analysis and integration of these complex, large-scale and heterogeneous datasets. 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