Team List
Handles creating, reading and updating teams.
GET /api/team/?format=api&ordering=-name
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Le laboratoire comprend une installation de séquençage (TGML, membre de France Génomique) et une solide équipe de bio-informaticiens qui développent et donnent accès au public à des ressources bio-informatiques (outils logiciels et bases de données) dans des domaines allant de l'analyse de protéines individuelles et de séquences d'ADN à l'analyse à grande échelle et à l'intégration de données omiques, avec un accent particulier sur les variations du génome, la régulation génétique et épigénétique, et l'analyse de réseaux.", "expertise": [], "expertise_description": "coming soon", "linkCovid19": "", "homepage": "https://tagc.univ-amu.fr", "unitId": "", "address": "163 avenue de Luminy\r\nParc Scientifique de Luminy case 928", "city": "Marseille", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 56, "name": "INSERM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api" } ], "publications": [ "" ], "certifications": [], "fundedBy": [ { "id": 56, "name": "INSERM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api" } ], "keywords": [ "Biostatistics", "Analysis of RNAseq data", "Systems Biology", "Genome analysis", "Transcript and transcript variant analysis", "Protein/protein interaction modelisation", "Single-Cell Analysis", "Workflow development", "Databases and information systems" ], "fields": [ "Biologie", "Biomédical" ], "orgid": null, "tools": [ "ledpred", "metamorf", "MoonDB", "ocg", "inserm-remap", "rsat" ], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/846/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/639/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/83/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/639/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/844/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/845/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/624/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/28/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/46/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/83/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/260/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/393/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/512/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/639/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/83/?format=api" ], "ifbMembership": "Associated Team", "platforms": [], "is_active": true, "closing_date": null, "lat": "43.231496", "lng": "5.441888", "updated_at": "2025-12-08T15:37:46.500141Z" }, { "id": 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": 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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Elle propose : le développement de méthodes/protocoles de bio-informatique structurelle, l'hébergement de services et le déploiement en ligne de services du domaine, la formation et conseil dans le domaine et l’hébergement de calculs via PAAS.", "expertise": [], "expertise_description": "", "linkCovid19": "", "homepage": "http://bioserv.rpbs.univ-paris-diderot.fr/index.html", "unitId": "", "address": "35 rue Hélène Brion", "city": "Paris", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 28, "name": "University Paris-Cité", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20Paris-Cit%C3%A9/?format=api" }, { "id": 56, "name": "INSERM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api" } ], "publications": [ "" ], "certifications": [ "Label IBiSA" ], "fundedBy": [ { "id": 28, "name": "University Paris-Cité", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20Paris-Cit%C3%A9/?format=api" }, { "id": 56, "name": "INSERM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api" } ], "keywords": [], "fields": [ "Biologie", "Biomédical", "Informatique" ], "orgid": null, "tools": [ "fpocket", "frog2", "hca", "hhalign-kbest", "interevdock2", "pep-fold", "pep-sitefinder", "sabbac" ], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/801/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/802/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/523/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/801/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/802/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/120/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/523/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/583/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/617/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/638/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/523/?format=api" ], "ifbMembership": "Member platform", "platforms": [], "is_active": true, "closing_date": null, "lat": "48.827664", "lng": "2.380355", "updated_at": "2025-10-21T13:07:13.178118Z" }, { "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": 20, "name": "PRABI-Lyon-Grenoble", "logo_url": null, "description": "Les thématiques de recherche du PRABI-Doua s’organisent autour d’un point de vue méthodologique, qui affirme l’importance de la modélisation tant mathématique qu’informatique et d’une perspective évolutive qui organise les recherches indépendamment du niveau d’organisation biologique. C’est dans la synergie entre des problématiques biologiques propres et des développements méthodologiques que naît la plus grande part des résultats scientifiques de cette composante. Parmi les thématiques abordées figurent en particulier:\r\nPhylogénie et évolution moléculaire.\r\nGénomique comparative (organismes eucaryotes et procaryotes).\r\nEléments transposables.\r\nIntreractions hôtes-parasites.\r\nStatistiques appliquées à l'écologie et l'évolution.\r\nAnalyse statistique de données en grandes dimensions pour la génomique.", "expertise": [], "expertise_description": "", "linkCovid19": "", "homepage": "http://doua.prabi.fr/main/index", "unitId": "", "address": "Université Claude Bernard – Lyon 1\r\n43 boulevard du 11 Novembre 1918\r\n69622 Villeurbanne\r\nFrance", "city": "Villeurbanne", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" }, { "id": 59, "name": "LBBE - Laboratory of Biometry and Evolutionary Biology", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/LBBE%20-%20Laboratory%20of%20Biometry%20and%20Evolutionary%20Biology/?format=api" } ], "publications": [ "" ], "certifications": [], "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": [ "leBIBI", "seaview" ], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/489/?format=api" ], "technicalLeaders": [], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/190/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/263/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/311/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/329/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/345/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/352/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/382/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/412/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/163/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/425/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/71/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/80/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/155/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/572/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/577/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/442/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/485/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/498/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/590/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/203/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/222/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/229/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/271/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/546/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/600/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/104/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/220/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/489/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/628/?format=api" ], "maintainers": [], "ifbMembership": "None", "platforms": [], "is_active": false, "closing_date": "2023-03-15", "lat": "45.736972", "lng": "4.796028", "updated_at": "2025-10-21T13:07:13.059740Z" }, { "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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