Team List
Handles creating, reading and updating teams.
GET /api/team/?format=api&offset=20&ordering=-projects
{ "count": 45, "next": "https://catalogue.france-bioinformatique.fr/api/team/?format=api&limit=20&offset=40&ordering=-projects", "previous": "https://catalogue.france-bioinformatique.fr/api/team/?format=api&limit=20&ordering=-projects", "results": [ { "id": 13, "name": "MBI-DS4H", "logo_url": "https://mbi-ds4h.loria.fr/wp-content/uploads/2021/12/LOGOprovisoireMBI-DS4H-e1638376808693.png", "description": "La plateforme MBI signifie \"Modélisation des biomolécules et de leurs interactions\". Il s'agit essentiellement d'une plateforme de recherche offrant des services dans le cadre de projets scientifiques collaboratifs. Les principales activités de la plateforme concernent la modélisation 3D de protéines en interaction avec des ligands, des protéines, de l'ARN ou de l'ADN ss, ainsi que l'annotation fonctionnelle de biomolécules. Les programmes disponibles comprennent la simulation dynamique moléculaire (logiciel NAMD), l'arrimage rigide très rapide et les programmes de comparaison de formes, qui sont exécutés sur des grappes hybrides de CPU et de GPU. L'expertise en science des données, y compris l'exploration de données symboliques, l'apprentissage machine, l'analyse de graphes complexes, est également disponible pour la bio-informatique et les applications biomédicales.", "expertise": [], "expertise_description": "", "linkCovid19": "", "homepage": "http://mbi.loria.fr/", "unitId": "", "address": "615 Rue du Jardin Botanique\r\n54600 Villers-lès-Nancy\r\nFrance", "city": "Villers-lès-Nancy", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 72, "name": "Inria Nancy - Grand-Est research centre", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Inria%20Nancy%20-%20Grand-Est%20research%20centre/?format=api" }, { "id": 61, "name": "INRIA", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRIA/?format=api" } ], "publications": [ "" ], "certifications": [], "fundedBy": [ { "id": 61, "name": "INRIA", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRIA/?format=api" } ], "keywords": [], "fields": [ "Biologie", "Biomédical" ], "orgid": null, "tools": [ "hexserver" ], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/182/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/527/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/20/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/140/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/527/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/578/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/182/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/111/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/112/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/403/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/182/?format=api" ], "ifbMembership": "Associated Team", "platforms": [], "is_active": true, "closing_date": null, "lat": "48.665526", "lng": "6.157679", "updated_at": "2025-10-21T13:07:13.076000Z" }, { "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": 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": 19, "name": "PRABI-AMSB", "logo_url": "https://amsb.prabi.fr/amsb-logo.png", "description": "The PRABI-AMSB (Systems Biology Analysis and Modelling) is a Core facility specializing in bioinformatics, located on the Lyon Tech La Doua campus in Villeurbanne. Our platform is part of the IBISA-certified regional network of PRABI and, at the national level, is a member of the French Institute of Bioinformatics and a partner of the France Génomique infrastructure.", "expertise": [ "http://edamontology.org/topic_0091", "http://edamontology.org/topic_2259", "http://edamontology.org/topic_3071" ], "expertise_description": "Next Generation Sequence data analysis (Metagenomics, Metatranscriptomics, RNA-Seq, Genome assembly and Annotation)\r\nCloud Computing\r\nTraining", "linkCovid19": "", "homepage": "https://amsb.prabi.fr", "unitId": "201119591B", "address": "16 rue Raphael Dubois\r\nBatiment Mendel (2ème étage)", "city": "Villeurbanne Cedex", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" }, { "id": 76, "name": "University Lyon 1", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20Lyon%201/?format=api" } ], "publications": [ "" ], "certifications": [ "Label IBiSA", "France-Génomique" ], "fundedBy": [ { "id": 76, "name": "University Lyon 1", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20Lyon%201/?format=api" } ], "keywords": [ "Biostatistics", "Ecology", "Virology", "Metagenomics", "Sequence Algorithm", "Evolution and Phylogeny", "Biological network inference and analysis", "Cloud Computing", "NGS Sequencing Data Analysis", "Databases and information systems" ], "fields": [ "Biologie", "Environnement" ], "orgid": null, "tools": [ "Paraload", "virhostnet" ], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/459/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/472/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/285/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/285/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/459/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/472/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/472/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/459/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/285/?format=api" ], "ifbMembership": "Member platform", "platforms": [], "is_active": true, "closing_date": null, "lat": "45.781337", "lng": "4.864753", "updated_at": "2025-12-09T09:54:21.734622Z" }, { "id": 37, "name": "Systems Biomedicine", "logo_url": "https://www.marseille-medical-genetics.org/fileadmin/templates/mmg/imgs/mmg_logo.png", "description": "The advances in high-throughput technologies are providing unprecedented opportunities to better understand human diseases. 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. The Systems Biomedicine team bridges the gaps by harnessing digital expertise and developing novel computational approaches.", "expertise": [], "expertise_description": "The Systems Biomedicine team is hosting the research group of Paul Villoutreix, laureate of an INSERM Chaire de Professeur Junior.\r\nThe Systems Biomedicine team works in close collaboration with the MABIOS team from the Marseille Mathematics Institute.", "linkCovid19": "", "homepage": "https://www.marseille-medical-genetics.org/a-baudot/", "unitId": "", "address": "Faculté de Médecine de la Timone\r\n27 Bd Jean Moulin", "city": "Marseille Cedex 05", "country": "France", "communities": [], "projects": [], "affiliatedWith": [], "publications": [ "" ], "certifications": [], "fundedBy": [ { "id": 109, "name": "Aix Marseille Univ", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Aix%20Marseille%20Univ/?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" } ], "keywords": [ "Biostatistics", "Artificial Intelligence", "Multi-scale analysis and modelling", "Machine learning", "Bioinformatics & Biomedical", "Biological network inference and analysis", "genetic diseases", "Data Integration" ], "fields": [ "Biomédical" ], "orgid": null, "tools": [ "mogamun" ], "services": [], "leaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/722/?format=api" ], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/722/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/657/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/657/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/722/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/657/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/722/?format=api" ], "ifbMembership": "Associated Team", "platforms": [], "is_active": true, "closing_date": null, "lat": "43.288900", "lng": "5.402160", "updated_at": "2025-12-09T09:22:46.565875Z" }, { "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": 38, "name": "PB-IBENS", "logo_url": "https://www.ibens.bio.ens.psl.eu/squelettes/img/IBENS_logo.png", "description": "The Plateforme Bioinformatique (PB-IBENS) is a facility of the Institut de Biologie de l’ENS (IBENS). It defines, develops and deploys the hardware and software resources that meet the specific bioinformatics needs of researchers. It is responsible for the maintenance and deployment of the computing cluster “BioClust” accessible to all partners of the LABEX Memolife (IBENS, ESPCI, Collège de France). PB-IBENS also maintains and supports online tools (web and database servers) developed by the IBENS teams, some of which are labeled by the European Infrastructure Elixir. It is involved in bioinformatics training at the ENS, organises seminars and participates to external courses.", "expertise": [ "http://edamontology.org/topic_3316", "http://edamontology.org/topic_3489" ], "expertise_description": "Work in Progress", "linkCovid19": "", "homepage": "https://www.ibens.ens.fr/?rubrique55", "unitId": "UMR8197", "address": "Plateforme Bioinformatique- IBENS\r\nUMR8197-U1024\r\n46 rue d’Ulm", "city": "PARIS", "country": "FRANCE", "communities": [], "projects": [], "affiliatedWith": [], "publications": [ "", "10.1093/nar/gkab1091" ], "certifications": [], "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": 90, "name": "IBENS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IBENS/?format=api" }, { "id": 111, "name": "Ecole normale supérieure", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Ecole%20normale%20sup%C3%A9rieure/?format=api" } ], "keywords": [ "Phylogeny", "Programming Languages & Computer Sciences", "Paleogenomics and ancestral genomes", "High performance computing", "Graphical analysis", "Comparative genomics" ], "fields": [ "Biologie", "Informatique" ], "orgid": "grid.462036.5", "tools": [ "finsurf", "GENOMICUS", "Genomicus-fungi", "Genomicus-metazoa", "Genomicus-Plants", "Genomicus-protists" ], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/533/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/758/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/647/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/647/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/647/?format=api" ], "ifbMembership": "Contributing platform", "platforms": [], "is_active": true, "closing_date": null, "lat": "48.858608", "lng": "2.312949", "updated_at": "2025-12-09T12:25:14.658983Z" }, { "id": 8, "name": "BiGR", "logo_url": null, "description": "● Bioanalyses\r\nConception, définition de design expérimentaux en génomique (microarrays, NGS). Analyse de données génomiques (microarray et NGS)\r\n- Microarray :\r\n- Gene Expression (Agilent, Affymetrix)\r\n- CGH array\r\n- microRNA array\r\n- NGS (DNA-seq):\r\n- Détection de SNP (WES, WGS, TS)\r\n- Détection de variants structuraux (LOH, CNV)\r\n- ChipSeq\r\n- NGS (RNA-seq) :\r\n- Analyse différentielle\r\n- recherche de transcrit de fusion\r\n- recherche de splicing alternatif\r\n- detection de SNP par RNA-seq\r\n\r\n● Conseil / Support\r\nElaboration de cahier des charges pour des projets de recherche à composante \"bioinformatique\" : définition du projet bioinformatique, définition des compétences requises, rédaction de fiche de poste, recrutement de bioinformaticien, estimation du coût global. La plateforme peut se positionner en partenaire du projet ou en prestataire de service.\r\n\r\n● Formations\r\nOrganisation de formations généraliste en interne. Organisation de formations spécifiques, sur demande, dans les locaux des demandeurs (utilisation d’un logiciel, explication de méthodologie bioinformatique, statistiques)\r\n\r\n● R&D\r\nDéveloppement /Maintenance de pipelines d’analyse.\r\nDéveloppement à facon d’outils d’annotation / de visualisation de données NGS Développement de DB de données génomiques\r\nParticipation au developpement de DB en médecine personnalisée", "expertise": [], "expertise_description": "", "linkCovid19": "", "homepage": "http://gustaveroussy.fr/fr/content/plateforme-de-bioinformatique-activit%C3%A9s", "unitId": "", "address": "114 rue Edouard Vaillant\r\nUMS INSERM 23/CNRS 3655 AMMICA\r\n94800 Villejuif\r\nFrance", "city": "Villejuif", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "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": [ "" ], "certifications": [], "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" } ], "keywords": [], "fields": [ "Biologie", "Biomédical" ], "orgid": null, "tools": [], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/413/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/413/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/159/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/179/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/185/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/244/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/318/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/327/?format=api" ], "maintainers": [], "ifbMembership": "None", "platforms": [], "is_active": false, "closing_date": "2023-03-15", "lat": "48.794123", "lng": "2.346437", "updated_at": "2025-10-21T13:07:13.171252Z" }, { "id": 48, "name": "BIG", "logo_url": null, "description": "Le plateau de BioInformatique et Génomique (BIG) de l’Institut Sophia Agrobiotech (INRAE - CNRS - Univ. Côte d’Azur) propose de l’expertise en bioinformatique et des solutions pour le traitement, l’intégration, l’analyse et la visualisation de données multi-omiques dans le domaine de la santé et protection des plantes. BIG dispose d’un savoir-faire en génomique comparative, en transcriptomique et évolution moléculaire. Les outils et les ressources produits sont mis à la disposition de la communauté scientifique (site web, forge et portails intégratifs) et peuvent répondre à des problématiques similaires rencontrées dans d’autres domaines de recherche. Outre les développements méthodologiques, le plateau propose des accompagnements et des formations aux biologistes dans l’utilisation des outils qu’il produit et plus largement en bioinformatique.", "expertise": [], "expertise_description": "", "linkCovid19": "", "homepage": "https://institut-sophia-agrobiotech.paca.hub.inrae.fr/infrastructure-plantbios", "unitId": "", "address": "Institut Sophia Agrobiotech\r\n400 route des Chappes", "city": "Sophia Antipolis", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" } ], "publications": [ "" ], "certifications": [], "fundedBy": [ { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" } ], "keywords": [], "fields": [], "orgid": null, "tools": [], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/147/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/147/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/147/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/147/?format=api" ], "ifbMembership": "Contributing platform", "platforms": [], "is_active": true, "closing_date": null, "lat": "43.612660", "lng": "7.077920", "updated_at": "2025-10-21T13:07:13.097655Z" }, { "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. We support scientists and clinicians from study design to data interpretation.", "expertise": [], "expertise_description": "The Data Analysis Core provides expertise in 3 axes: Omics analyses, Biostatistics, and Data Management", "linkCovid19": "", "homepage": "https://dac.institutducerveau-icm.org/", "unitId": "", "address": "Institut du Cerveau - Paris Brain Institute\r\nCenter for Data Science and AI\r\n187 Rue du Chevaleret\r\n75013 Paris, France", "city": "Paris", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 56, "name": "INSERM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api" }, { "id": 41, "name": "Paris Brain Institute", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Paris%20Brain%20Institute/?format=api" } ], "publications": [ "" ], "certifications": [], "fundedBy": [ { "id": 56, "name": "INSERM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api" }, { "id": 41, "name": "Paris Brain Institute", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Paris%20Brain%20Institute/?format=api" } ], "keywords": [ "Biostatistics", "Small and long non-coding RNAs", "Analysis of RNAseq data", "Methylation profiles", "single-cell", "spatial transcriptomics", "REDCap", "Genome analysis", "TumoroteK", "OMERO" ], "fields": [ "Biologie", "Biomédical", "Biotechnologie", "Informatique" ], "orgid": null, "tools": [], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/766/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/834/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/767/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/373/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/656/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/834/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/373/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/656/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/239/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/656/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/767/?format=api" ], "ifbMembership": "Member platform", "platforms": [], "is_active": true, "closing_date": null, "lat": "48.840212", "lng": "2.363200", "updated_at": "2025-12-09T10:02:09.375288Z" }, { "id": 30, "name": "Inforbio", "logo_url": "https://www.ibps.sorbonne-universite.fr/ressources/images/129/2643,200x,logoInforBio_fond_blanc.png", "description": "The InforBio bioinformatics platform provides support and an environment for the analysis of high-throughput sequencing data. We specialize primarily in the analysis of epigenetic data (ChIP-Seq) and RNA sequencing, including bulk RNA-Seq, single-cell RNA-Seq, and spatial tanscriptomics.\r\n\r\nWe offer our services through scientific services and collaborations, including joint funding requests with partner teams. We develop online analysis pipelines via Galaxy and offer specialized long-term support (IOC program).\r\n\r\nTo facilitate analysis and programming, we provide online tools for statistics (RStudio) and programming (Jupyter), as well as a 1 Petabyte data storage server.", "expertise": [ "http://edamontology.org/topic_3173", "http://edamontology.org/topic_3170", "http://edamontology.org/topic_0769", "http://edamontology.org/topic_3308", "http://edamontology.org/topic_3474" ], "expertise_description": "We specialize in advanced transcriptomic analysis complemented by epigenetic studies.\r\n\r\n\r\nOur core capabilities encompass the entire data processing workflow, from high-performance sequence alignment and differential expression analysis to sophisticated multivariate analyses for comprehensive biological insight.", "linkCovid19": "", "homepage": "https://inforbio.github.io/", "unitId": "", "address": "Plateforme de bioinformatique ARTbio\r\nIBPS & Sorbonne Université \r\nBâtiment B, 7ème étage, porte 725.\r\n9, Quai St Bernard, \r\nBoîte courrier 25", "city": "Paris Cedex 05", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" }, { "id": 110, "name": "Sorbonne Université", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Sorbonne%20Universit%C3%A9/?format=api" } ], "publications": [ "" ], "certifications": [], "fundedBy": [ { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" }, { "id": 110, "name": "Sorbonne Université", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Sorbonne%20Universit%C3%A9/?format=api" } ], "keywords": [ "Biostatistics", "Epigenetics", "spatial transcriptomics", "Bioinformatics", "Galaxy", "Transcriptomics", "Single-Cell Analysis" ], "fields": [], "orgid": null, "tools": [], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/809/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/808/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/858/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/808/?format=api" ], "ifbMembership": "Member platform", "platforms": [], "is_active": true, "closing_date": null, "lat": "48.846891", "lng": "2.359061", "updated_at": "2025-12-09T10:03:58.367591Z" }, { "id": 42, "name": "BONSAI", "logo_url": "https://www.cristal.univ-lille.fr/bonsai/img/bonsai-rond.jpg", "description": "The team Bonsai has been re-created on January 1, 2011, and is an evolution of the INRIA-LIFL team Sequoia, which was created in 2007. The scientific focus of Bonsai is still very much the same as the one of Sequoia. We work in computational biology, and more specifically o n algorithms for biological sequences analysis. Several topics of Bonsai were already present in Sequoia: Noncoding RNA analysis and non ribosomal peptide synthesis. We also work on further lines of research: Algorithms for Next Generation Sequencing and comparison of sequences at genome scale taking into account rearrangements. These lines of research find their source in the development of new sequencing technologies and the increasing availability of complete genome sequence data. They are supported by strategical collaborations, and they also reinforce the expertise of the team in sequence analysis and genome annotation. The main goal of Bonsai is to define appropriate combinatorial models and efficient algorithms for large-scale sequence analysis in molecular biology.", "expertise": [], "expertise_description": "", "linkCovid19": "", "homepage": "https://radar.inria.fr/report/2011/bonsai/uid0.html", "unitId": "", "address": "Avenue Henri Poincaré 59655 Villeneuve d'Ascq France", "city": "Villeneuve d'Ascq", "country": "France", "communities": [], "projects": [], "affiliatedWith": [], "publications": [ "" ], "certifications": [], "fundedBy": [], "keywords": [], "fields": [], "orgid": null, "tools": [], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/610/?format=api" ], "technicalLeaders": [], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/610/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/610/?format=api" ], "ifbMembership": "Associated Team", "platforms": [], "is_active": true, "closing_date": null, "lat": "50.606180", "lng": "3.138530", "updated_at": "2025-10-21T13:07:13.081697Z" }, { "id": 6, "name": "CBiB", "logo_url": "https://services.cbib.u-bordeaux.fr/utils/logo_cbib.png", "description": "The Bordeaux Bioinformatics Centre (CBiB) is a technology platform specialized in the analysis of high-throughput biological data (genomics, transcriptomics, proteomics, metabolomics, imaging). With strong expertise and the integration of advanced technologies, including artificial intelligence, CBiB supports academic and industrial partners in extracting value from complex data. Its services cover the full data lifecycle, supported by high-performance infrastructures and a multidisciplinary team in bioinformatics.", "expertise": [ "http://edamontology.org/topic_3391", "http://edamontology.org/topic_3517", "http://edamontology.org/topic_3941", "http://edamontology.org/topic_0121", "http://edamontology.org/topic_0203", "http://edamontology.org/topic_0196", "http://edamontology.org/topic_0080", "http://edamontology.org/topic_0091", "http://edamontology.org/topic_3307" ], "expertise_description": "soon", "linkCovid19": "", "homepage": "https://www.cbib.u-bordeaux.fr/", "unitId": "", "address": "146 Rue Léo Saignat\r\n33076 Bordeaux\r\nFrance", "city": "Bordeaux", "country": "France", "communities": [], "projects": [], "affiliatedWith": [], "publications": [ "", "10.1093/eep/dvac022", "10.1017/S2633903X22000034", "10.3389/fbinf.2022.867111", "10.3389/fbinf.2022.999700", "10.15252/emmm.202115343", "10.1016/j.jhazmat.2023.131579", "10.1080/15592294.2023.2260963", "10.3390/ijms24119724", "10.5220/0011623500003414", "10.1128/spectrum.02251-22", "10.1021/acschembio.3c00440", "10.1038/s43018-023-00717-6", "10.1093/bioinformatics/btae282", "10.1038/s44321-025-00195-6", "10.1016/j.celrep.2024.113773", "10.1093/bioadv/vbae081", "10.1016/j.jgar.2024.12.006", "10.48550/arXiv.2505.08508", "10.1128/mbio.01360-24" ], "certifications": [ "Label IBiSA", "ISO 9001", "CNOC (INRA)", "NF X50-900" ], "fundedBy": [ { "id": 91, "name": "University of Bordeaux", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20of%20Bordeaux/?format=api" } ], "keywords": [ "Artificial Intelligence", "cancer", "Image analysis", "spatial transcriptomics", "Metabolomics", "proteomics", "Integration of heterogeneous data", "Single-Cell Analysis", "Comparative genomics", "NGS Sequencing Data Analysis" ], "fields": [ "Biologie", "Biomédical", "Agro-alimentaire", "Environnement" ], "orgid": "057qpr032", "tools": [ "xeml-lab", "mix", "molligen", "tango", "xheinz" ], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/467/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/268/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/268/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/34/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/154/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/467/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/34/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/268/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/154/?format=api" ], "ifbMembership": "Member platform", "platforms": [], "is_active": true, "closing_date": null, "lat": "44.824860", "lng": "-0.608450", "updated_at": "2025-12-09T14:21:19.010919Z" }, { "id": 29, "name": "IFB Core", "logo_url": "https://www.ifb-elixir.fr/wp-content/uploads/2025/08/logo-ifb-elixir.png", "description": "The mission of the IFB-Core platform is to coordinate the use of resources and activities within the national infrastructure. 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": [ "" ], "certifications": [], "fundedBy": [ { "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" } ], "keywords": [ "HPC", "Cloud Computing" ], "fields": [], "orgid": null, "tools": [ "edam-browser", "fair-checker", "galaxy_france" ], "services": [], "leaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/644/?format=api" ], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/785/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/644/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/3/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/624/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/644/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/782/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/737/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/762/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/241/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/124/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/243/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/261/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/237/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/162/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/660/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/785/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/77/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/82/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/788/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/625/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/644/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/3/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/789/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/443/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/790/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/791/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/792/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/362/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/793/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/794/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/795/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/796/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/432/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/624/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/556/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/134/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/43/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/59/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/128/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/107/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/198/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/431/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/489/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/563/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/797/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/811/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/644/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/443/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/556/?format=api" ], "ifbMembership": "Coordinating unit", "platforms": [], "is_active": true, "closing_date": null, "lat": "48.796758", "lng": "2.358473", "updated_at": "2025-12-09T13:59:38.581575Z" }, { "id": 41, "name": "Biomics", "logo_url": "https://biomics.pasteur.fr/wp-content/uploads/2019/11/IP_logo.png", "description": "The Biomics Platform is the C2RT structure at Institut Pasteur for Next Generation Sequencing short and long-read technologies. 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": 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": 4, "name": "ABiMS", "logo_url": "https://abims.sb-roscoff.fr/sites/default/files/abims.png", "description": "The mission of the ABiMS platform at the Roscoff Biological Station is to train and support researchers from the marine community and, more broadly, the life sciences, to analyze their data using bioinformatics methods. ABiMS belong to the French Institute of Bioinformatics (IFB) and the Bioinformatics Axe of the Regional project BioGenOuest. \r\n\r\nThrough its interactions with research units, ABiMS is a partner in several national and European research projects involving the development of bioanalysis activities, software engineering and scientific computing infrastructures. The ABIMS platform has notably developed a strong expertise in the analysis of RNAseq data of non-model species. It has also contributed in the development of reference databases for both observational and genomic data.", "expertise": [], "expertise_description": "ABiMS offers custom developments to research teams within the framework of scientific collaborations formalised as projects: Software engineering (web appliance, database), Bioinformatics analysis ((RNA-seq, assembly, ...), E-infrastructure (HPC, Galaxy, JBrowse), Data management and access (FAIR and data lifecycle), Training and Support.", "linkCovid19": "", "homepage": "https://abims.sb-roscoff.fr/", "unitId": "", "address": "Place Georges Teissier - Station Biologique de Roscoff", "city": "Roscoff", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" }, { "id": 110, "name": "Sorbonne Université", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Sorbonne%20Universit%C3%A9/?format=api" }, { "id": 65, "name": "SBR - Roscoff Marine Station", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/SBR%20-%20Roscoff%20Marine%20Station/?format=api" } ], "publications": [ "" ], "certifications": [ "Label IBiSA", "ISO 9001" ], "fundedBy": [ { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" }, { "id": 110, "name": "Sorbonne Université", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Sorbonne%20Universit%C3%A9/?format=api" } ], "keywords": [ "Phylogeny", "Ecology", "NGS Data Analysis", "Metagenomics", "Web portals", "High performance computing", "metatranscriptomics", "Population Genetics", "Workflow development", "Databases and information systems" ], "fields": [ "Biologie", "Environnement", "Informatique" ], "orgid": null, "tools": [ "galaxy_france", "workflow4metabolomics" ], "services": [], "leaders": [], "deputies": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/299/?format=api" ], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/134/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/362/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/299/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/362/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/134/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/272/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/24/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/134/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/362/?format=api" ], "ifbMembership": "Member platform", "platforms": [], "is_active": true, "closing_date": null, "lat": "48.726769", "lng": "-3.987521", "updated_at": "2025-12-09T10:11:02.550941Z" }, { "id": 23, "name": "PACA-Bioinfo", "logo_url": "https://www.igs.cnrs-mrs.fr/wp-content/uploads/2025/12/LOGO_PACA_VECTO_WhiteBG-nomargin.png", "description": "PACA Bioinfo's services focus on microbial genomics, metagenomics, comparative genomics, and molecular phylogenetics. It provides the community with various free online tools that can be accessed without prior registration, such as phylogeny.fr and ACDtools. The platform collaborates on genomics and metagenomics projects, providing the main bioinformatics support, particularly for teams at the \"Institut Méditerranéen de Microbiologie de Marseille\". With expertise in analyzing all types of genomes, it focuses in giant viruses.", "expertise": [ "http://edamontology.org/topic_3174", "http://edamontology.org/topic_0196", "http://edamontology.org/topic_3170", "http://edamontology.org/topic_0797", "http://edamontology.org/topic_0622", "http://edamontology.org/topic_0080", "http://edamontology.org/topic_0082", "http://edamontology.org/topic_0781" ], "expertise_description": "PACA Bioinfo's services focus on microbial genomics, metagenomics, comparative genomics, molecular phylogenetics and structural bioinformatics. With expertise in analyzing all types of genomes, it focuses in giant viruses.", "linkCovid19": "", "homepage": "https://www.igs.cnrs-mrs.fr/paca-bioinfo/", "unitId": "UMR7256", "address": "163 Avenue de Luminy\r\nCase 934", "city": "Marseille", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" }, { "id": 38, "name": "IGS - Laboratoire Information Génomique et Structurale", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IGS%20-%20Laboratoire%20Information%20G%C3%A9nomique%20et%20Structurale/?format=api" } ], "publications": [ "10.1093/bioinformatics/bty640", "10.1093/bioadv/vbab034", "10.1093/femsml/uqac003", "10.1128/JVI.01997-19", "10.3389/fmicb.2019.00430", "10.1186/s12864-018-4715-9", "10.1080/23802359.2017.1285210", "10.1128/JVI.00230-17", "10.1038/ncomms15087", "10.1038/ismej.2015.192", "10.1111/mec.13621", "10.1073/pnas.1506469112", "10.1371/journal.pone.0090988", "10.1371/journal.pone.0090989", "10.1186/1471-2164-14-158", "10.1111/mec.12108", "10.1038/ismej.2013.116", "10.1074/jbc.M111.314559", "10.1371/journal.pgen.1003122", "10.1186/gb-2012-13-5-r39", "10.1371/journal.pone.0018528", "10.1186/1743-422X-8-99", "10.1105/tpc.110.076406", "10.1186/gb-2009-10-10-r114", "10.1186/1743-422X-6-178", "10.1101/gr.091686.109", "10.1016/j.jip.2009.03.011", "10.1101/gr.091561.109", "10.1186/1471-2164-10-352", "", "10.1093/nar/gkn180" ], "certifications": [ "CATI - CTAI", "RIO", "label Plateforme Aix-Marseille" ], "fundedBy": [ { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" } ], "keywords": [ "Virology", "NGS Data Analysis", "Metagenomics", "Evolution and Phylogeny", "metatranscriptomics", "Sequence analysis", "proteomics", "Comparative genomics", "Structural Bioinformatics" ], "fields": [ "Biomédical", "Environnement", "Biotechnologie" ], "orgid": "05v0fms67", "tools": [ "acdtool", "phylogeny.fr" ], "services": [], "leaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/557/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/372/?format=api" ], "deputies": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/557/?format=api" ], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/372/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/557/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/741/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/557/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/129/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/372/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/502/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/557/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/372/?format=api" ], "ifbMembership": "Associated Team", "platforms": [], "is_active": true, "closing_date": null, "lat": "43.239127", "lng": "5.436787", "updated_at": "2025-12-12T08:59:53.115922Z" }, { "id": 44, "name": "PRABI-PFGT", "logo_url": "https://www.crcl.fr/app/uploads/2021/01/logo.svg", "description": "La plateforme de Bioinformatique \"Gilles Thomas\", située au Centre Léon Bérard (CLB), a été initiée en 2009 par le Pr. Gilles Thomas pour favoriser l'exploitation de quantités massives de données de séquençage en génomique du cancer. L'équipe est composée de 11 bioinformaticiens et biostatisticiens travaillant sous la direction scientifique d'Alain Viari (Inria). Elle fournit une expertise multidisciplinaire, de la gestion des données à l'interprétation biologique, pour soutenir un large spectre de collaborations allant de la recherche fondamentale aux projets translationnels et aux activités de diagnostic clinique.", "expertise": [], "expertise_description": "", "linkCovid19": "", "homepage": "https://www.crcl.fr/les-plateformes/plateforme-de-bioinformatique-gilles-thomas/", "unitId": "", "address": "28 Rue Laennec", "city": "Lyon", "country": "France", "communities": [], "projects": [], "affiliatedWith": [], "publications": [ "" ], "certifications": [], "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" } ], "keywords": [], "fields": [], "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/629/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/629/?format=api" ], "ifbMembership": "Contributing platform", "platforms": [], "is_active": true, "closing_date": null, "lat": "45.776067", "lng": "5.003264", "updated_at": "2025-10-21T13:07:13.112445Z" }, { "id": 1, "name": "EBIO", "logo_url": null, "description": "La plateforme Bioinformatique eBio (http://ebio.u-psud.fr/) créée en décembre 2009, est au centre du dispositif de bioinformatique de l’Université Paris-Sud. Elle est associée aux services de bioinformatiques de l’INRA Moulon, de l’hôpital Paul Brousse et de Gustave Roussy. eBio est labellisée par IBISA/Reseau National des Plateformes Bioinformatiques (RENABI) et membre de l’Alliance des Plateformes Bioinformatiques d’Ile de France (APLIBIO). Le site principal de eBio est localisé au bat 400 de l'Université Paris–Sud et intégré à l'I2BC (UMR9198, Gif sur Yvette).\r\nLes missions d’eBio comprennent : (1) le soutien bioinformatique aux projets de recherche, (2) la mise à disposition de moyens de calcul et stockage, (3) le développement et la maintenance de serveurs web de bioinformatique et bases de données de génomique. La plateforme a accompagné ou hébergé plus de 50 projets de recherche depuis début 2010.\r\nLes principaux domaines d’expertise de la plateforme sont les suivants :\r\n- L’analyse de données RNA-seq, notamment la detection de transcrits non codants, transcrits alternatifs, l’analyse d’expression différentielle, le ribosome profiling\r\n- L’analyse des structures d’ARN (alignement, structure secondaire)\r\n- L’intégration de logiciels et de workflows d’analyse sous Galaxy\r\n- L’assemblage des génomes de bactéries/champignons, la détection de variants\r\n- La phylogénie moléculaire et l’analyse fonctionnelle par profil phylogénétique\r\n- L’annotation des génomes de bactéries, archées et champignons (séquences CRISPR, terminateurs de transcription, ARN régulateurs, minisatellites)\r\n- Le calcul distribué et sur cloud (déploiement de services d’analyse sur cluster et cloud académique)", "expertise": [], "expertise_description": "", "linkCovid19": "", "homepage": "http://ebio.u-psud.fr/", "unitId": "", "address": "15 rue George Clémenceau\r\n91000 Orsay\r\nFrance", "city": "Orsay", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" } ], "publications": [ "" ], "certifications": [ "Label IBiSA" ], "fundedBy": [ { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" } ], "keywords": [], "fields": [ "Biologie", "Biomédical", "Agro-alimentaire", "Environnement" ], "orgid": null, "tools": [ "crisprfinder", "erpin", "synttax" ], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/244/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/605/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/244/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/605/?format=api" ], "maintainers": [], "ifbMembership": "None", "platforms": [], "is_active": false, "closing_date": "2023-03-15", "lat": "48.698931", "lng": "2.177998", "updated_at": "2025-10-21T13:07:13.141581Z" } ] }
