Team List
Handles creating, reading and updating teams.
GET /api/team/?format=api&offset=20&ordering=id
{ "count": 45, "next": "https://catalogue.france-bioinformatique.fr/api/team/?format=api&limit=20&offset=40&ordering=id", "previous": "https://catalogue.france-bioinformatique.fr/api/team/?format=api&limit=20&ordering=id", "results": [ { "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": 22, "name": "Genotoul-bioinfo", "logo_url": "https://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png", "description": "The Genotoul-Bioinfo facility is part of the Genotoul GIS. It is a team of the INRAE MIAT unit, part of the MathNum department and member of BioinfOmics (IR INRAE). It has been set up in 2000. Since 2009, it is one of the 13 IBISA bioinformatics platforms. Its missions are to provide computing and storage infrastructure dedicated to bioinformatics (software and databases are available on request) to approximately 1 200 users, to support biologists' projects mainly through collaboration and training, and to develop software for biologists and bioinformaticians.\r\nThe computing and storage infrastructure is composed by around 5000 cores, 83 Tera Byte memory and more than 7.5 Peta Byte disk space.", "expertise": [ "http://edamontology.org/topic_0091" ], "expertise_description": "The GenoToul bioinformatics facility provides access to high-performance computing resources, data analysis and programming expertise. Its permanent staff has many years of experience in supporting scientific programmes in biology and bioinformatics. The main axis of development and scientific support include high throughput sequencing data processing ((meta)genomic, pangenomic and biostatistics).", "linkCovid19": "", "homepage": "https://bioinfo.genotoul.fr/", "unitId": "", "address": "24 Chemin de Borde Rouge", "city": "Castanet Tolosan", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 108, "name": "Genotoul", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Genotoul/?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": 37, "name": "MIAT - Mathématiques et Informatique Appliquées de Toulouse", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/MIAT%20-%20Math%C3%A9matiques%20et%20Informatique%20Appliqu%C3%A9es%20de%20Toulouse/?format=api" } ], "publications": [ "10.1038/s41467-024-49025-2", "10.1038/s41598-024-60938-2", "10.1038/s41467-024-51032-2", "10.1038/s41467-024-54042-2", "10.21105/joss.06782", "10.3389/fmicb.2024.1377047", "10.21105/joss.06272", "10.1016/j.bbadis.2024.167118", "10.1186/s13059-024-03384-7", "10.1111/zsc.12643", "10.1080/15476286.2024.2417152", "10.1111/mec.17425", "10.1186/s13567-024-01329-3", "10.1128/mbio.02428-24", "10.1038/s41598-021-01066-z", "10.1016/j.cub.2021.08.030", "10.1093/molbev/msaa249", "10.1038/s41467-021-21094-7", "10.1007/978-3-030-73249-3_34", "10.1016/j.msom.2021.10.020", "10.1080/15476286.2020.1869892", "10.7717/peerj.11885", "10.1093/ve/veab093", "10.3389/fgene.2021.655707", "10.1111/raq.12542", "10.7554/eLife.62858", "10.3390/md19080452", "10.3389/fgene.2021.659287", "10.1016/j.isci.2020.101927", "10.1371/journal.pcbi.1009321", "" ], "certifications": [ "Label IBiSA", "France-Génomique", "ISO 9001", "CNOC (INRA)", "NF X50-900", "PF stratégique nationale INRA" ], "fundedBy": [ { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" } ], "keywords": [ "Biostatistics", "Pangenomic", "Metagenomics", "Small and long non-coding RNAs", "Cluster" ], "fields": [ "Biologie", "Biomédical", "Agro-alimentaire", "Environnement", "Biotechnologie" ], "orgid": null, "tools": [ "metagwgs" ], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/642/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/300/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/642/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/822/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/739/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/243/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/835/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/823/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/824/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/836/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/825/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/300/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/338/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/827/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/828/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/659/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/344/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/470/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/615/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/300/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/739/?format=api" ], "ifbMembership": "Member platform", "platforms": [], "is_active": true, "closing_date": null, "lat": "43.515910", "lng": "1.498640", "updated_at": "2025-12-01T11:00:08.920021Z" }, { "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": 24, "name": "South Green", "logo_url": "https://southgreenplatform.github.io/trainings//images/southgreenlong.png", "description": "South Green is a bioinformatics platform dedicated to the genomics of tropical and Mediterranean plants and their associated pathogens. It brings together bioinformaticians from several units and institutes in Montpellier (CIRAD, INRAE, IRD, and the Alliance Bioversity International and CIAT), who have multidisciplinary expertise in data integration, software development, sequencing data analysis, and high-performance computing. The platform has developed strong expertise in building information systems and visualization tools such as Genome Hubs as well as analytical workflow genome analyses (rnaseq, assemby, pangenomics, phylogenomics etc.).", "expertise": [ "http://edamontology.org/topic_3316", "http://edamontology.org/topic_3474", "http://edamontology.org/topic_0114", "http://edamontology.org/topic_3673", "http://edamontology.org/topic_0194", "http://edamontology.org/topic_3517", "http://edamontology.org/topic_0769", "http://edamontology.org/topic_3050", "http://edamontology.org/topic_3068", "http://edamontology.org/topic_3299", "http://edamontology.org/topic_0219", "http://edamontology.org/topic_3308", "http://edamontology.org/topic_0092", "http://edamontology.org/topic_3071" ], "expertise_description": "Genomic analysis of plants and their pathogens, including genome assembly, phylogenomics, GWAS, and transcriptomics. We develop reproducible workflows (SnakeMake, Galaxy) and support the management, annotation, and curation of biological data. Experts in the visualization of genomic and pangenomic data.", "linkCovid19": "", "homepage": "http://www.southgreen.fr", "unitId": "", "address": "Parc scientifique Agropolis", "city": "Montpellier", "country": "France", "communities": [], "projects": [ "https://catalogue.france-bioinformatique.fr/api/project/DIG-AI/?format=api" ], "affiliatedWith": [], "publications": [ "10.1093/gigascience/giz028", "10.1093/bioadv/vbaf096", "10.1186/s13326-023-00289-5", "10.1371/journal.pcbi.1009321", "", "10.1093/database/baaf048", "10.1371/journal.pcbi.1010622", "10.1186/s13059-023-02911-2", "10.1093/bioinformatics/btab688", "10.1093/hr/uhac221", "10.1093/database/baac057", "10.1186/s12863-025-01359-6", "10.1016/j.cpb.2016.12.002", "10.1186/s44342-025-00058-z", "10.1093/bioinformatics/btac504", "10.1038/s41467-025-56329-4", "10.1016/j.xplc.2022.100330", "10.1016/j.tig.2025.03.004", "10.1002/ppp3.10581", "10.1093/nargab/lqad013", "10.1126/science.add8655", "10.1093/bib/bbab238", 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