Team List
Handles creating, reading and updating teams.
GET /api/team/?format=api&ordering=-linkCovid19
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You will find all the detailed information on our services and processes on the Biomics website.", "expertise": [], "expertise_description": "", "linkCovid19": "", "homepage": "https://biomics.pasteur.fr/ask/?ask=Submit+Project", "unitId": "", "address": "25-28 Rue du Dr Roux, 75015 Paris", "city": "Paris", "country": "France", "communities": [], "projects": [], "affiliatedWith": [], "publications": [ "" ], "certifications": [], "fundedBy": [ { "id": 48, "name": "Institut Pasteur", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Institut%20Pasteur/?format=api" } ], "keywords": [], "fields": [], "orgid": null, "tools": [], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/127/?format=api" ], "technicalLeaders": [], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/127/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/127/?format=api" ], "ifbMembership": "Associated Team", "platforms": [], "is_active": true, "closing_date": null, "lat": "48.840340", "lng": "2.310810", "updated_at": "2025-10-21T13:07:13.004481Z" }, { "id": 26, "name": "URGI", "logo_url": "https://entrepot.recherche.data.gouv.fr/logos/14/logoURGI_res300_1-69X1-19.png", "description": "URGI (Unit Resources Genomics-Info) is a scientific facility specialised in plant bioinformatics. \r\nWe publish and integrate genetic, phenomic and genomic data, mainly from plants, and analyse the dynamics of transposable elements in genomes and pangenomes.\r\n\r\nURGI is ISO 9001:2015 certified and part of the “Institut Français de Bioinformatique” (IFB), the French node of ELIXIR, the European bioinformatics infrastructure for the life sciences. It is also one of the four facilities that form BioinfOmics, INRAE’s bioinformatics research infrastructure.", "expertise": [ "http://edamontology.org/topic_3316", "http://edamontology.org/topic_3571", "http://edamontology.org/topic_3365", "http://edamontology.org/topic_3572", "http://edamontology.org/topic_3299", "http://edamontology.org/topic_3366", "http://edamontology.org/topic_0219", "http://edamontology.org/topic_0622", "http://edamontology.org/topic_0625", "http://edamontology.org/topic_3489", "http://edamontology.org/topic_0780", "http://edamontology.org/topic_0091" ], "expertise_description": "Services:\r\n1. Advices and resources for data management and integration, based on the FAIR principles\r\n2. Development of federated portals to facilitate access and exploitation of global data (e.g. FAIDARE, WheatIS Data Discovery, RARe Data Discovery)\r\n3. Advanced analysis of genomic data using specialised tools, such as REPET", "linkCovid19": "", "homepage": "https://urgi.versailles.inrae.fr/", "unitId": "URGI-US1164", "address": "INRAE Centre de Versailles\r\nRD10 - Route de Saint-Cyr\r\n78000 Versailles\r\nFrance", "city": "Versailles", "country": "France", "communities": [], "projects": [ "https://catalogue.france-bioinformatique.fr/api/project/ELIXIR-CONVERGE/?format=api" ], "affiliatedWith": [ { "id": 8, "name": "Elixir", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Elixir/?format=api" }, { "id": 7, "name": "France Génomique", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/France%20G%C3%A9nomique/?format=api" }, { "id": 67, "name": "University Paris-Saclay", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20Paris-Saclay/?format=api" }, { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "id": 88, "name": "BioinfOmics", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api" }, { "id": 4, "name": "IFB - ELIXIR-FR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api" } ], "publications": [ "10.3835/plantgenome2015.06.0038", "", "10.34133/2019/1671403", "10.1186/s13100-019-0150-y", "10.1007/978-1-4939-6658-5_5", "10.1093/database/bat058", "10.1007/s00239-003-0007-2", "10.1371/journal.pone.0091929", "10.1371/journal.pcbi.0010022", "10.1371/journal.pone.0016526", "10.1186/s13059-018-1491-4" ], "certifications": [ "Label IBiSA", "France-Génomique", "ISO 9001", "CNOC (INRA)", "CATI - CTAI", "PF stratégique nationale INRA" ], "fundedBy": [ { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" } ], "keywords": [ "Pangenomic", "Bioinformatics and Plant Genomics", "Web portals", "Transposons", "Interoperability", "Data collection curation", "Data Integration", "Databases and information systems" ], "fields": [ "Biologie", "Agro-alimentaire", "Environnement", "Informatique" ], "orgid": null, "tools": [ "DataDiscovery", "faidare", "gnpis", "", "RARe", "repet", "WheatIS" ], "services": [], "leaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/3/?format=api" ], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/8/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/3/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/224/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/8/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/751/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/224/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/754/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/441/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/131/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/3/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/813/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/336/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/504/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/814/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/815/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/816/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/8/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/441/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/224/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/3/?format=api" ], "ifbMembership": "Member platform", "platforms": [], "is_active": true, "closing_date": null, "lat": "48.802130", "lng": "2.087270", "updated_at": "2025-12-09T09:48:11.975324Z" }, { "id": 32, "name": "MMG-GBIT", "logo_url": "https://www.ifb-elixir.fr/wp-content/uploads/2025/11/Equipe_IFB-Core_Generique-7.webp", "description": "Our team has been involved for years in different topics. The analysis of the many variations identified during the sequencing process of genes. In order to identify causative mutations, especially if they are missense mutations or null substitutions that only impact mRNA, we developed two tools: UMD-Predictor® to predict the pathogenicity of missense mutations, and the Human Splicing Finder® (HSF) to identify splicing signals and evaluate the impact of mutations on splicing.\r\n Locus Specific Databases (LSDBs). Since 1994, our team developed the Universal Mutation Database system (UMD®) an international reference system for the creation of Locus Specific Databases (LSDBs).\r\nPatient registries. We also developed through years, patient registries for neuromuscular rare diseases and others.", "expertise": [], "expertise_description": "The analysis of the many variations identified during the sequencing process of genes. In order to identify causative mutations, especially if they are missense mutations or null substitutions that only impact mRNA", "linkCovid19": "", "homepage": "https://geneticsandbioinformatics.eu/", "unitId": "", "address": "Faculté de Médecine de la Timone, \r\n27 Bd Jean Moulin", "city": "Marseille", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 56, "name": "INSERM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api" }, { "id": 47, "name": "MMG - Marseille Medical Genetics", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/MMG%20-%20Marseille%20Medical%20Genetics/?format=api" } ], "publications": [ "" ], "certifications": [], "fundedBy": [ { "id": 56, "name": "INSERM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api" } ], "keywords": [ "NGS Data Analysis" ], "fields": [ "Biologie", "Biomédical", "Biotechnologie" ], "orgid": null, "tools": [ "varaft" ], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/48/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/49/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/48/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/49/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/180/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/48/?format=api" ], "ifbMembership": "Contributing platform", "platforms": [], "is_active": true, "closing_date": null, "lat": "43.288900", "lng": "5.402160", "updated_at": "2026-01-13T13:40:47.509859Z" }, { "id": 21, "name": "PRABI-Lyon-Gerland", "logo_url": null, "description": "Le PRABI-Gerland https://prabi.ibcp.fr localisé à l'IBCP développe les bases de données dans le domaine infectieux, les méthodes de prédiction et d'optimisation des structures 3D de protéines ainsi que les outils et services s'y rapportant. Dans le domaine des services la spécificité de la PF est la bioinformatique structurale (Modélisation moléculaire, prédiction de structure) introduite sur Lyon dès 1986 (il y a 25 ans avant même que le mot n'existe...). Dans ce domaine, l’activité proposée par le PRABI-Gerland s’appuie sur les expertises suivantes:\r\n Prédiction de structure de protéines [G. Deléage]\r\n Modélisation moléculaire [E. Bettler, G. Deléage, R. Terreux]\r\n Intégration de méthodes et serveurs Web [C. Combet, G Deléage]\r\n Serveur Web 3D [E. Bettler, G. Deléage]\r\n Drug design et QSAR (R. Terreux, J.A. Chemelle)\r\n \r\nMots clefs: Bioinformatique structurale, Prédiction de structure, Base de données structurales, Analyse de séquences, Modélisation moléculaire, docking moléculaire.\r\n \r\nPrincipaux sites web: https://prabi.ibcp.fr (site en cours de refonte)\r\n https://geno3d-prabi.ibcp.fr/\r\n https://npsa-prabi.ibcp.fr/\r\n http://sumo-pbil.ibcp.fr\r\n http://espript.ibcp.fr\r\n http://endscript.ibcp.fr\r\nMéthodes de prédiction des structures secondaires de protéines.\r\nPlusieurs méthodes originales ont été développées, Self Optimized Prediction Method (SOPM), génère automatiquement à partir de cette base de donnée, une \"sous-base\" rassemblant les 60 à 80 protéines les plus homologues ou appartenant à la même classe structurale que la protéine\r\nétudiée. En effet, des protéines homologues ont généralement une structure assez proche (30% d'identité indique une architecture semblable). Après une phase d'apprentissage automatique sur cette \"sous-base\", en particulier d'optimisation des paramètres, la prédiction de la structure de la protéine est réalisée. La version SOPMA tire bénéfice des alignements multiples. La méthode MLRC combine les réseaux de neurones avec la méthode SOPMA.\r\n [SOPMA] Self optimised Prediction Method (1995)\r\n [SOPM] Self optimised Prediction Method (1994)\r\n [DPM] Double prediction Method (1987)\r\n [MLRC] Multivariate Linear Regression Combination (1999)\r\n [AMPHIPASEEK] Prediction of membrane anchor helical peptides (2006)\r\n \r\nIntégration de methodes- WebicielsServeur NPS@\r\nLe PRABI Gerland a développé le premier serveur de mail Français pour la prédiction de structures secondaires de protéines (80 000 prédictions en tout). Ensuite ces méthodes ont été intégrées dans [NPS@ 2000]. Le serveur est actuellement dans sa version 3. Dans le cadre de RENABI-IFB, ce serveur généraliste de séquences couplé aux prédictions de structures sera mis à jour en termes d’ergonomie, d’interface et de conception. Mise à disposition d’outils et de services en ligne correspondant aux domaines d’expertise du laboratoire d’accueil de la PF.\r\n \r\nServeur Web ESPript/ENDscript\r\nA partir d’une protéine de structure connue (code ou fichier PDB), le serveur ENDscript produit, en quelques secondes et de manière automatisée, plusieurs illustrations téléchargeables dans des formats usuels (PostScript, PDF, PNG et TIFF) :\r\n1/ Une première figure, générée par le logiciel ESPript, présente la séquence de la protéine d’intérêt agrémentée de ses éléments de structure secondaire, de l’accessibilité au solvant et de l’hydropathie par résidu. Si disponibles, sont aussi représentés les contacts cristallographiques et non-cristallographiques protéine/protéine et/ou protéine/ligand ainsi que les résidus impliqués dans des ponts disulfures.\r\n2/ Une seconde figure ESPript montre, en plus des informations précédentes, un alignement multiple de séquences des protéines homologues coloré en fonction de la conservation des résidus et agrémenté des éléments de structure secondaire de ces dernières si leurs structures sont connues. \r\n3/ Deux représentations 3D interactives visualisables par le logiciel PyMOL : a) une représentation en ruban, colorée en fonction de la conservation de séquence. b) une représentation en tube dont le diamètre est proportionnel à la déviation structurale (rmsd) entre la protéine d’intérêt et les protéines homologues de structure connue. De plus, si disponible, peuvent être affichés : l’assemblage de l’unité biologique, les modèles RMN multiples, les ligands et les résidus en contact avec ces derniers.\r\nLe serveur ESPript permet, en complément d’ENDscript ou de manière autonome, de représenter des alignements multiples de séquences avec la possibilité d’ajouter des marqueurs définis par l’utilisateur de manière à produire des figures facilitant l’analyse ou dédiées aux communications scientifiques.\r\n \r\nModélisation moléculaire\r\nUn serveur Web de modélisation moléculaire automatique de structure 3D de protéines appelé geno3D est disponible depsuis 2002 qui permet aux biologistes et biochimistes d'obtenir un modèle 3D de qualité si la séquence \"query\" présente plus de 35% d'identité avec une protéine de structure 3D connue. Le principe de cette modélisation consiste à appliquer les techniques de modélisation sous contraintes à la protéine à modéliser (de type RMN) à partir d'un jeu de contraintes calculées sur l'empreinte structurale. Plusieurs empreintes sont utilisables, le ligand (si présent) est replacé dans les modèles, 10 modèles sont générés. Les résultats sont proposés sous la forme d’une archive récupérable et les résultats sont conservés 8 jours sur le serveur. Ce serveur génère 100 modèles/mois. Un système intégré de modélisation moléculaire (MAGOS ) à grande échelle de protéomes entiers a été utilisé pour des protéomes de virus (modeome3D) et de plantes (arabidome3D).\r\n \r\nDocking et sites 3D- chemo-informatique\r\nUne méthode bioinformatique SUMO a été développée permettant de détecter des sites 3D fonctionnels communs à plusieurs protéines. L’approche a fait l’objet d’un brevet déposé par le CNRS et d'un serveur Web pour rendre utilisable la méthode par la communauté académique.\r\nDans un travail récent, nous avons réévalué les paramètres et avons montré que la qualité de comparaison était améliorée tout comme la rapidité du calcul. Cette méthode a été appliquée pour établir une classification des antibiotiques à noyau ß lactame.", "expertise": [], "expertise_description": "", "linkCovid19": "", "homepage": "https://prabi.ibcp.fr", "unitId": "", "address": "7 Passage du Vercors\r\n69367 Lyon\r\nFrance", "city": "Lyon", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" } ], "publications": [ "" ], "certifications": [ "Label IBiSA", "RIO" ], "fundedBy": [ { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" } ], "keywords": [], "fields": [ "Biologie", "Biomédical", "Biotechnologie" ], "orgid": null, "tools": [], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/52/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/169/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/169/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/593/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/52/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/113/?format=api" ], "maintainers": [], "ifbMembership": "None", "platforms": [], "is_active": false, "closing_date": "2023-03-15", "lat": "45.727764", "lng": "4.825956", "updated_at": "2025-10-21T13:07:13.009659Z" }, { "id": 10, "name": "MIGALE", "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png", "description": "The Migale bioinformatics platform is a team within the INRAe MaIAGE (Applied Mathematics and Computer Science, from the Genome to the Environment) research unit. 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