Event List
Handles creating, reading and updating events.
GET /api/event/?format=api&offset=360&ordering=-courseMode
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Dans ce contexte, des outils statistiques sont développés pour permettre d’analyser ces données de hautes dimensions, et la maîtrise de ces outils devient de plus en plus nécessaire pour produire des résultats de bonne qualité. Ce cours de 4 semaines couvrira les étapes nécessaires pour mettre en place un processus d’analyse de données, depuis la planification de l’expérience jusqu’à la fouille des données en passant par l’échantillonnage, les test d’hypothèses, la modélisation statistique etc.\nCe cours s’adresse en priorité aux étudiants de première année de thèse de l’Institut Pasteur. Tout étudiant en thèse sera automatiquement inscrit à ce cours, mais les élèves de 2e année, de 3e année ou les post-doctorants peuvent également s’inscrire, dans la limite des places disponibles. Il est à noter que le cours est obligatoire pour les étudiants de 1ère année. Des dispenses partielles ou totales sont possibles pour les étudiants qui ont déjà des connaissances en statistique, en mathématique ou en physique. Le cours déroulera sur 4 semaines, 4 jours par semaine, trois heures par jour. Chaque séance de trois heures alternera cours magistral et mise en pratique. Il y aura deux sessions : la première commencera le 22 octobre 2018 et la deuxième le 14 janvier 2019.\nChacune de ces deux sessions sera précédée d’une séance d’introduction à l’informatique. Cette séance proposera des notions d’architecture de l’ordinateur, de système d’organisation des fichiers et de format de fichiers. Chaque session sera également suivie d’un cours optionnel sur l’analyse et le traitement des images.\nPour plus d’information, ainsi que pour les inscriptions au module optionnel et les demandes d’exemption, rendez-vous sur la page du cours : https://c3bi.pasteur.fr/introduction-to-data-analysis-2018-19/\nThèmes abordés\nLe module d’analyse de données couvrira un large champ de notions nécessaires aux étudiants pour planifier leurs expériences, analyser et explorer leurs données, interpréter les résultats et générer des figures à des fins de publication. Il abordera des notions de base en statistique, dont les analyses uni- et multivariées, les analyses descriptives, les distributions statistiques usuelles utilisées en biologie, ainsi que les tests d’hypothèses. Les exercices et travaux pratiques seront réalisés avec R et RStudio. Plusieurs séances seront consacrées à une introduction à l’utilisation du langage de programmation R avant d’aborder les notions de statistiques et d’analyse de données.\nLe module d’analyse d’images introduira les principes de base de l’analyse d’image, et portera plus particulièrement sur l’extraction d’information quantitative d’images de microscopie. Ce cours est destiné aux personnes ayant peu ou pas d’expérience en analyse d’image. Il sera très orienté sur la pratique : des cours magistraux de courte durée seront immédiatement suivis de sessions pratiques. Il aidera à la fois les microscopistes débutants et experts qui n’ont jamais eu de formation concrète en analyse d’image.\n \n\n", "homepage": "https://www.pasteur.fr/fr/introduction-data-analysis", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [ "Biostatistics", "Statistical Tests", "Regression", "Dimension reduction", "Image analysis", "Descriptive statistics", "Multivariate analyses" ], "prerequisites": [ "Master (M2 uniquement)" ], "openTo": "Internal personnel", "accessConditions": "\n\n \n\n\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 12, "name": "INCEPTION", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/INCEPTION/?format=api" } ], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2019-01-13", "end_date": "2019-02-07", "venue": "", "city": "Institut Pasteur", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 108, "name": "Survival Guide for Perl applied to Bioinformatics", "shortName": "", "description": "This course provides an introduction to programming using Perl.", "homepage": "https://southgreenplatform.github.io/trainings//perl/", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/150x150.png", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2017-10-01", "end_date": "2017-10-05", "venue": "", "city": "ISRA, Bel Air, Dakar (Sénégal)", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 206, "name": "Marseille Hackathon Training Event", "shortName": "", "description": " 3-days training session / hackathon in Marseille", "homepage": "https://www.greekc.org/activity/marseille-training-event/", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 3, "name": "IFB", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IFB/?format=api" } ], "organisedByOrganisations": [ { "id": 10, "name": "GREEKC", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/GREEKC/?format=api" } ], "organisedByTeams": [], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/Logotype_pictogramme-128.png", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2019-04-23", "end_date": "2019-04-26", "venue": "", "city": "Faculté des science de Luminy, Marseille", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 382, "name": " Linux For Jedi", "shortName": "", "description": "This course offers to develop and enhance advanced Linux shell command line and scripting skills for the processing and analysis of NGS data. We will work on a HPC server and use linux powerful commands to allow to analyze big amount of biological data.\n \nPrerequisites\nBasic knowledge of Linux (Linux for dummies required)\n\nProgram\nConnecting to a distant HPC\nManipuling text files\nComplex searching for text in a file\nCombining several commands\nWriting simple shell scripts\n\n\nLearning objectives\nAfter this course, participants should be able to:\nManipulate and search within text files\nChain and combine commands\nPerform the same actions on many files\nWrite a simple shell script\n\n\n \n\n\nInstructors\nChristine Tranchant (CT) - christine.tranchant@ird.fr\nNdomassi Tando (NT) - ndomassi.tando@ird.fr\nBruno Granouillac (BG) - bruno.granouillac@ird.fr\nFrançois Sabot (SB) - francois.sabot@ird.fr\nGautier Sarah (GS) - gautier.sarah@cirad.fr\n\n", "homepage": "https://southgreenplatform.github.io/trainings/linuxJedi/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [], 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Pouvoir les mettre en oeuvre dans un cas simple via un serveur web Galaxy.\nPouvoir visualiser les résultats dans un navigateur de génome.\nDurée de la formation : 2,5 jours\n\n\n", "homepage": "http://www.biosciencesco.fr/formation-continue/bio-informatique/analyse-des-donn…", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Methodology", "Biostatistics", "NGS Data Analysis", "Analysis of RNAseq data", "Assembly of genomes and transcriptomes", "Read alignment on genomes", "Statistical Tests", "Gene expression differential analysis", "Galaxy", "Transcript and transcript variant analysis", "Transcriptomics (RNA-seq)", "NGS Sequencing Data Analysis" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Informations et inscriptions:\nhttp://www.biosciencesco.fr/formation-continue/bio-informatique/analyse-...\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2017-11-14", "end_date": "2017-11-16", "venue": "", "city": "PRABI (Campus scientifique de la Doua, LYON-VILLEURBANNE)", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 259, "name": "Advanced sequence analysis", "shortName": "", "description": "https://cnrsformation.cnrs.fr/stage-19019-Analyse-avancee-de-sequences.h...\n", "homepage": "https://cnrsformation.cnrs.fr/pdf/16148.pdf", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "NGS Data Analysis", "Analysis of RNAseq data", "Sequence Algorithm", "Bioinformatics & Biomedical", "Galaxy", "Variant analysis", "Transcriptomics (RNA-seq)", "Genomics (DNA-seq)", "Sequence annotation", "Pattern matching", "Multiple sequence alignment" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "CNRS fee-based training\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2019-05-13", "end_date": null, "venue": "", "city": "CBiB", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 78, "name": "RNASeq with Galaxy", "shortName": "", "description": "", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/150x150.png", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2017-05-22", "end_date": "2017-05-23", "venue": "", "city": "Roscoff", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 40, "name": "Analyse primaire de données issues de séquenceurs nouvelle génération sous Galaxy", "shortName": "", "description": "Connaître les concepts et méthodes bioinformatiques utilisés pour l’analyse primaire de données issues de NGS...", "homepage": "http://migale.jouy.inra.fr/", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/logo-inra_0_0_1.png", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2017-03-14", "end_date": null, "venue": "", "city": "unité MaIAGE, Jouy-en-Josas", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 43, "name": "Formation MIGALE - 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Basic Knowledge" ], "openTo": "Everyone", "accessConditions": "Have an account on the BiRD cluster.", "maxParticipants": 20, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/596/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 16, "name": "BiRD", "url": "https://catalogue.france-bioinformatique.fr/api/team/BiRD/?format=api" } ], "logo_url": "https://bird.univ-nantes.io/website/images/logo/logo.svg", "updated_at": "2026-01-27T10:38:01.290168Z", "type": "Training course", "start_date": "2024-10-01", "end_date": "2024-10-01", "venue": "", "city": "Nantes", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": "2024-09-20", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 486, "name": "11ème Ecole de Bioinformatique AVIESAN-IFB-Inserm", "shortName": "EBAII 2022", "description": "La formation s’adresse à des biologistes directement impliqués dans des projets “Next Generation Sequencing” (NGS). 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Les participants bénéficieront d’un tutorat personnalisé pour élaborer leur plan d’analyse, et effectuer les premières étapes de traitement de leurs propres données ou de celles de leur plateforme.", "homepage": "https://www.france-bioinformatique.fr/formation/ebaii-2022-n1/", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "Biostatistics", "Sequence analysis", "NGS Sequencing Data Analysis" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "La formation s’adresse à des biologistes directement impliqués dans des projets “Next Generation Sequencing” (NGS). \r\nAucune connaissance préalable des environnements Linux ou R n’est requise, mais il sera demandé aux participants de suivre une autoformation en ligne en amont, pour faciliter la prise en main de ces langages. 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