Team List
Handles creating, reading and updating teams.
GET /api/team/?format=api&offset=20&ordering=-expertise
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Les chercheurs des laboratoires utilisateurs sont formés et aidés par les personnels bio-informaticiens affectés aux laboratoires avec l'aide de l'équipe du CBPsmn.\r\nLes serveurs du CBPsmn sont hébergés dans le Datacenter de l'ENS de Lyon (200m2, 65 baies, 1,2MW d'adduction électrique). Les équipements mis à disposition sont de trois types:\r\n- Les Clusters (Batch - resp. Lois Taulelle) : 3 clusters regroupant ~30 000 coeurs répartis dans ~700 serveurs et ~10PB de stockage.\r\n- Les serveurs accessibles en mode interactif (resp. Emmanuel Quemener): ~300 serveurs répartis dans 3 salles de formation et une dizaine de plateaux techniques, plusieurs centaines de TB de stockage.\r\n- Le Cloud meso-psmn-cirrus ( membre de la fédération des clouds IFB-Biosphère - resp. Micaël Calvas): ~28 serveurs pour ~5000 coeurs et 70 TB de stockage partagé (manila)", "expertise": [], "expertise_description": "", "linkCovid19": "", "homepage": "https://www.ens-lyon.fr/PSMN/doku.php?id=accueil", "unitId": "", "address": "Pôle Scientifique de Modélisation Numérique, ENS de Lyon \r\n46, allée d'Italie", "city": "Lyon cedex 07", "country": "France", "communities": [], "projects": [], "affiliatedWith": [], "publications": [ "" ], "certifications": [], "fundedBy": [ { "id": 102, "name": "ENS of Lyon", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/ENS%20of%20Lyon/?format=api" } ], "keywords": [], "fields": [], "orgid": null, "tools": [], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/803/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/803/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/803/?format=api" ], "ifbMembership": "Contributing platform", "platforms": [], "is_active": true, "closing_date": null, "lat": "45.729632", "lng": "4.827973", "updated_at": "2025-10-21T13:07:13.046190Z" }, { "id": 5, "name": "INCa-SLC", "logo_url": null, "description": "Cette structure a été créée à l'initiative de l'INCa dans le cadre de sa participation à l'\"International Cancer Genome Consortium\" (ICGC).\r\n \r\nElle a trois missions :\r\n1 collecter ou préparer puis valider les acides nucléiques (ADN normal, ADN tumoral, ARN tumoral,...) qui seront examinés avec les techniques de la génomique: puce de génotypage, puce d'expression, RNA-seq, DNA-‐eq en génomes complets et en éxomes),\r\n2 assurer la liaison avec les centres de génomique (académiques ou privés) réalisant le séquençage haut-‐débit,\r\n3 effectuer l'analyse des données de séquence transmises par ces centres de manière à en extraire l'information (variants somatiques et structuraux, nombre de copie, niveaux d'expression en RNA-‐seq) utile aux équipes biomédicales.\r\n \r\nPour remplir sa mission, la plateforme a développé une application Internet permettant d'assurer la gestion de grands projets multicentriques en toute transparence pour les collaborateurs. 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. Cheney D\r\n69008 Lyon\r\nFrance", "city": "Lyon", "country": "France", "communities": [], "projects": [], "affiliatedWith": [], "publications": [ "" ], "certifications": [], "fundedBy": [ { "id": 4, "name": "IFB - ELIXIR-FR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api" } ], "keywords": [], "fields": [ "Biologie", "Biomédical" ], "orgid": null, "tools": [], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/629/?format=api" ], "technicalLeaders": [], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/335/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/505/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/38/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/218/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/364/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/568/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/579/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/603/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/606/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/620/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/629/?format=api" ], "maintainers": [], "ifbMembership": "None", "platforms": [], "is_active": false, "closing_date": "2023-03-15", "lat": "45.735673", "lng": "4.887571", "updated_at": "2025-10-21T13:07:13.251070Z" }, { "id": 16, "name": "BiRD", "logo_url": "https://pf-bird.univ-nantes.fr/images/logo/logo.svg", "description": "BiRD brings together life-science and digital-science research laboratories in Nantes. It supports researchers in managing, integrating, analyzing, and modeling experimental data by providing large-scale storage and computing infrastructure, as well as (bio)informatics tools, standardized analysis pipelines, and training. By pooling human resources, expertise, software, and datasets, BiRD aims to strengthen and sustain bio-analysis capabilities, facilitate the analysis and reuse of heterogeneous data, scale up methods developed by partner teams, and contribute to training in life and digital sciences.", "expertise": [], "expertise_description": "BiRD offers expertise in genetics, transcriptomics, single-cell and metagenomic analyses, alongside knowledge-graph development, supporting research in cancer, immunology, cardiovascular and metabolic diseases through advanced bioinformatic workflows and large-scale data processing.", "linkCovid19": "", "homepage": "http://pf-bird.univ-nantes.fr/", "unitId": "", "address": "IRS UN, 8 Quai Moncousu", "city": "Nantes", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 31, "name": "Institut du Thorax", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Institut%20du%20Thorax/?format=api" }, { "id": 112, "name": "LS2N", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/LS2N/?format=api" } ], "publications": [ "" ], "certifications": [ "Label IBiSA" ], "fundedBy": [ { "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" }, { "id": 114, "name": "Nantes Université", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Nantes%20Universit%C3%A9/?format=api" } ], "keywords": [ "NGS Data Analysis", "Metagenomics", "Metabolic Network Modelling", "Ontologies", "Transcriptomics", "Variant analysis", "Interoperability", "Integration of heterogeneous data", "Knowledge representation", "Workflow development" ], "fields": [ "Biologie", "Biomédical", "Informatique" ], "orgid": null, "tools": [ "3SRP", "DEPIB", "fair-checker", "magneto", "mibiomics", "microSysMics", "pybravo" ], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/69/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/520/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/54/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/237/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/596/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/69/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/54/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/106/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/279/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/520/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/237/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/54/?format=api" ], "ifbMembership": "Member platform", "platforms": [], "is_active": true, "closing_date": null, "lat": "47.209985", "lng": "-1.553544", "updated_at": "2026-01-07T12:57:08.816204Z" }, { "id": 40, "name": "EvryRNA", "logo_url": null, "description": "EvryRNA platform is a web server providing various algorithms and bioinformatics tools developed in the laboratory IBISC of UEVE/Genopole, and dedicated to the prediction and the analysis of non-coding RNAs (ncRNAs). These RNAs are regulators of gene expression control and genome stability. They are involved in different biological processes, and some of them, including microRNAs, are known to be involved in many diseases such as cancer and neurodegenerative diseases. Their study provides insight into how living organisms function, including differentiation and cell proliferation, but also to consider new therapeutic approaches for genetic diseases and cancer.", "expertise": [], "expertise_description": "", "linkCovid19": "", "homepage": "https://evryrna.ibisc.univ-evry.fr/evryrna/", "unitId": "", "address": "2 Rue du Facteur Cheval", "city": "Évry-Courcouronnes", "country": "France", "communities": [], "projects": [], "affiliatedWith": [], "publications": [ "" ], "certifications": [], "fundedBy": [ { "id": 62, "name": "CEA", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CEA/?format=api" }, { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" } ], "keywords": [], "fields": [], "orgid": null, "tools": [], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/587/?format=api" ], "technicalLeaders": [], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/587/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/587/?format=api" ], "ifbMembership": "Associated Team", "platforms": [], "is_active": true, "closing_date": null, "lat": "48.629863", "lng": "2.424280", "updated_at": "2025-10-21T13:07:13.207385Z" }, { "id": 25, "name": "TAGC-BU", "logo_url": "https://tagc.univ-amu.fr/sites/default/files/logo_tagc_sans_fond_image_2.png", "description": "TAGC est une unité mixte de recherche et de services de l'Inserm spécialisée dans le développement et l'application des approches omiques à divers systèmes biologiques. Le laboratoire comprend une installation de séquençage (TGML, membre de France Génomique) et une solide équipe de bio-informaticiens qui développent et donnent accès au public à des ressources bio-informatiques (outils logiciels et bases de données) dans des domaines allant de l'analyse de protéines individuelles et de séquences d'ADN à l'analyse à grande échelle et à l'intégration de données omiques, avec un accent particulier sur les variations du génome, la régulation génétique et épigénétique, et l'analyse de réseaux.", "expertise": [], "expertise_description": "coming soon", "linkCovid19": "", "homepage": "https://tagc.univ-amu.fr", "unitId": "", "address": "163 avenue de Luminy\r\nParc Scientifique de Luminy case 928", "city": "Marseille", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 56, "name": "INSERM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api" } ], "publications": [ "" ], "certifications": [], "fundedBy": [ { "id": 56, "name": "INSERM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api" } ], "keywords": [ "Biostatistics", "Analysis of RNAseq data", "Systems Biology", "Genome analysis", "Transcript and transcript variant analysis", "Protein/protein interaction modelisation", "Single-Cell Analysis", "Workflow development", "Databases and information systems" ], "fields": [ "Biologie", "Biomédical" ], "orgid": null, "tools": [ "ledpred", "metamorf", "MoonDB", "ocg", "inserm-remap", "rsat" ], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/846/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/639/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/83/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/639/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/844/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/845/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/624/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/28/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/46/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/83/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/260/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/393/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/512/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/639/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/83/?format=api" ], "ifbMembership": "Associated Team", "platforms": [], "is_active": true, "closing_date": null, "lat": "43.231496", "lng": "5.441888", "updated_at": "2025-12-08T15:37:46.500141Z" }, { "id": 46, "name": "IMGT", "logo_url": "https://www.imgt.org/images/logo_IMGT.png", "description": "IMGT®, the international ImMunoGeneTics information system®, is the international reference in immunogenetics and immunoinformatics, created in 1989 at the University of Montpellier and the CNRS. IMGT® is a high-quality integrated knowledge resource specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility (MH) of human and other vertebrate species, and in the immunoglobulin superfamily (IgSF), MH superfamily (MhSF) and related proteins of the immune system (RPI) of vertebrates and invertebrates.", "expertise": [], "expertise_description": "The IMGT platform specializes in the nomenclature and classification of immunoglobulin genes and T cell receptors, facilitating research on the immune response. It offers databases and tools along three axes: genomics, the expressed repertoire, and proteins (including crystallographic structure).", "linkCovid19": "", "homepage": "https://www.imgt.org/", "unitId": "", "address": "Faculté de Pharmacie, \r\n15 avenue Charles Flahault", "city": "Montpellier Cede 5", "country": "France", "communities": [], "projects": [], "affiliatedWith": [], "publications": [ "" ], "certifications": [], "fundedBy": [ { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" }, { "id": 99, "name": "University of Montpellier", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20of%20Montpellier/?format=api" } ], "keywords": [ "Immunogenetics", "Immune repertoire analysis", "Immunoinformatics" ], "fields": [], "orgid": null, "tools": [ "imgt_3dstructure", "IMGT_HighV-QUEST", "IMGT_mAb-DB", "IMGT-ONTOLOGY", "imgt_v-quest" ], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/339/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/204/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/225/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/204/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/258/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/310/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/339/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/339/?format=api" ], "ifbMembership": "Member platform", "platforms": [], "is_active": true, "closing_date": null, "lat": "43.611242", "lng": "3.876733", "updated_at": "2025-12-09T10:08:12.617299Z" }, { "id": 28, "name": "DAC", "logo_url": "https://plateforme.institutducerveau-icm.org/app/uploads/sites/14/2021/06/cropped-data-analysis-core_2-coul_rvb_gb.png", "description": "The Data Analysis Core facility (DAC) provides the Paris Brain Institute with structural support and expertise in processing, integrating, analyzing and managing increasingly complex and large data. 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