Team List
Handles creating, reading and updating teams.
GET /api/team/?format=api&offset=20&ordering=-city
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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": 46, "name": "IMGT", "logo_url": "https://www.imgt.org/images/logo_IMGT.png", "description": "IMGT®, the international ImMunoGeneTics information system®, is the international reference in immunogenetics and immunoinformatics, created in 1989 at the University of Montpellier and the CNRS. IMGT® is a high-quality integrated knowledge resource specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility (MH) of human and other vertebrate species, and in the immunoglobulin superfamily (IgSF), MH superfamily (MhSF) and related proteins of the immune system (RPI) of vertebrates and invertebrates.", "expertise": [], "expertise_description": "The IMGT platform specializes in the nomenclature and classification of immunoglobulin genes and T cell receptors, facilitating research on the immune response. It offers databases and tools along three axes: genomics, the expressed repertoire, and proteins (including crystallographic structure).", "linkCovid19": "", "homepage": "https://www.imgt.org/", "unitId": "", "address": "Faculté de Pharmacie, \r\n15 avenue Charles Flahault", "city": "Montpellier Cede 5", "country": "France", "communities": [], "projects": [], "affiliatedWith": [], "publications": [ "" ], "certifications": [], "fundedBy": [ { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" }, { "id": 99, "name": "University of Montpellier", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20of%20Montpellier/?format=api" } ], "keywords": [ "Immunogenetics", "Immune repertoire analysis", "Immunoinformatics" ], "fields": [], "orgid": null, "tools": [ "imgt_3dstructure", "IMGT_HighV-QUEST", "IMGT_mAb-DB", "IMGT-ONTOLOGY", "imgt_v-quest" ], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/339/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/204/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/225/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/204/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/258/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/310/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/339/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/339/?format=api" ], "ifbMembership": "Member platform", "platforms": [], "is_active": true, "closing_date": null, "lat": "43.611242", "lng": "3.876733", "updated_at": "2025-12-09T10:08:12.617299Z" }, { "id": 7, "name": "ATGC", "logo_url": "https://www.lirmm.fr/wp-content/uploads/sites/3/2025/11/ATGClogo_LIRMM-300x105-1.jpg", "description": "The bioinformatics platform ATGC is supported by a research team from LIRMM. It has the triple vocation of disseminating the bioinformatics tools developed within the Montpellier community, of encouraging collaborations between computer scientists and biologists, and of providing assistance to these researchers by setting up bioinformatics services directly related to their work. The tools it offers are accessible online free of charge. They can be downloaded and/or run on Cluster IO from Montpellier Mésocentre (ISDM). A major axis of the platform concerns evolutionary studies.", "expertise": [ "http://edamontology.org/topic_3372" ], "expertise_description": "The ATGC platform aims to braodcast the software systems developed by MAB Team from LIRMM.\r\nThe MAB team (Methods and Algorithms for Bioinformatics) proposes mathematical and algorithmic methods (text and tree algorithms, combinatorial algorithms and optimization, probabilistic modeling, statistical machine learning) to address biological issues such as evolution, phylogeny, comparative genomics", "linkCovid19": "", "homepage": "http://www.atgc-montpellier.fr/", "unitId": "UMR5506", "address": "860 rue Saint Priest", "city": "Montpellier", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 73, "name": "LIRMM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/LIRMM/?format=api" } ], "publications": [ "10.1007/978-3-642-00982-2_60", "10.1186/1471-2105-9-166", "10.1093/sysbio/syq002", "10.1093/oxfordjournals.molbev.a025808", "10.1080/10635150390235520", "10.1093/nar/gki352", "10.1093/bioinformatics/bti713", "10.1080/10635150600755453", "10.1080/10635150701639754", "10.1093/molbev/msn067", "10.1098/rstb.2008.0180", "10.1186/1471-2105-9-413", "10.1080/10635150600969872", "", "10.1093/sysbio/syq010", "10.1093/nar/gkn180" ], "certifications": [ "Label IBiSA" ], "fundedBy": [ { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" }, { "id": 99, "name": "University of Montpellier", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20of%20Montpellier/?format=api" } ], "keywords": [ "Phylogeny", "Evolution and Phylogeny", "Text mining", "Structural genomics" ], "fields": [ "Biologie", "Biomédical", "Agro-alimentaire", "Environnement", "Biotechnologie" ], "orgid": null, "tools": [ "bionj", "compphy", "crac", "fastme", "lordec", "mpscan", "phylogeny.fr", "phyml" ], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/528/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/282/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/830/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/528/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/443/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/50/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/76/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/108/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/118/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/282/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/411/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/480/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/585/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/443/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/830/?format=api" ], "ifbMembership": "Member platform", "platforms": [], "is_active": true, "closing_date": null, "lat": "43.636878", "lng": "3.841811", "updated_at": "2025-11-27T13:24:55.215918Z" }, { "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", "10.1093/nar/gkab564", "10.1093/gigascience/giz051", "10.24072/pcjournal.153", "10.1111/tpj.15456", "10.1093/nargab/lqab088", "10.1002/9781119312994.apr0664", "10.1371/journal.pbio.3000312", "10.1093/aob/mcab008", "10.1038/s42003-020-01593-x" ], "certifications": [ "ISO 9001" ], "fundedBy": [ { "id": 86, "name": "the Alliance of Bioversity International and CIAT", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/the%20Alliance%20of%20Bioversity%20International%20and%20CIAT/?format=api" }, { "id": 85, "name": "IRD", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IRD/?format=api" }, { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "id": 50, "name": "CIRAD", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CIRAD/?format=api" } ], "keywords": [ "NGS Data Analysis", "Web portals", "Pangenomics", "High performance computing", "Variant calling", "Data 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We have created a new data structure capable of organizing reads for very quickly queries and developed a software (called CRAC) noticed by Nature as a competitor over existing softwares for the analysis of RNA-Seq data (CRAC, Star, …).\r\n\r\n* Transcriptomics - RNA-Seq\r\n* Kmers analysis\r\n - [Transipedia](https://transipedia.fr)", "expertise": [ "http://edamontology.org/topic_3170", "http://edamontology.org/topic_0091", "http://edamontology.org/topic_0203", "http://edamontology.org/topic_0659" ], "expertise_description": "", "linkCovid19": "", "homepage": "https://bio2m.fr", "unitId": "", "address": "BioInformatiques et BioMarqueurs\r\nINSERM U1183\r\nIRMB - Institut de Médecine Regénérative et Biothérapie\r\nHôpital Saint-Eloi\r\n80, av. Augustin Fliche", "city": "Montpellier", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 4, "name": "IFB - ELIXIR-FR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api" } ], "publications": [ "10.1186/1471-2105-12-242", "", "10.1186/gb-2013-14-3-r30", "10.1093/nargab/lqab058" ], "certifications": [], "fundedBy": [ { "id": 56, "name": "INSERM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api" }, { "id": 99, "name": "University of Montpellier", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20of%20Montpellier/?format=api" } ], "keywords": [], "fields": [ "Biologie" ], "orgid": null, "tools": [ "kmerator" ], "services": [], "leaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/130/?format=api" ], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/130/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/643/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/643/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/130/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/760/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/761/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/643/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/643/?format=api" ], "ifbMembership": "Contributing platform", "platforms": [], "is_active": true, "closing_date": null, "lat": "43.624386", "lng": "3.868455", "updated_at": "2025-10-21T13:07:13.043036Z" }, { "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. 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Les chercheurs des laboratoires utilisateurs sont formés et aidés par les personnels bio-informaticiens affectés aux laboratoires avec l'aide de l'équipe du CBPsmn.\r\nLes serveurs du CBPsmn sont hébergés dans le Datacenter de l'ENS de Lyon (200m2, 65 baies, 1,2MW d'adduction électrique). Les équipements mis à disposition sont de trois types:\r\n- Les Clusters (Batch - resp. Lois Taulelle) : 3 clusters regroupant ~30 000 coeurs répartis dans ~700 serveurs et ~10PB de stockage.\r\n- Les serveurs accessibles en mode interactif (resp. Emmanuel Quemener): ~300 serveurs répartis dans 3 salles de formation et une dizaine de plateaux techniques, plusieurs centaines de TB de stockage.\r\n- Le Cloud meso-psmn-cirrus ( membre de la fédération des clouds IFB-Biosphère - resp. 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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": 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. 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Elle a mis en place des procédures de contrôle qualité des échantillons à analyser. Elle dessine et automatise des pipelines d'analyse pour les données de génomique qu'elle reçoit.", "expertise": [], "expertise_description": "", "linkCovid19": "", "homepage": "http://www.synergielyoncancer.fr/", "unitId": "", "address": "28 rue Laënnec\r\nFondation Synergie Lyon Cancer, Bât. 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