Event List
Handles creating, reading and updating events.
GET /api/event/?format=api&offset=260&ordering=-topics
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Les énormes avantages de Linux sont sa gratuité, son évolution constante et l'inexistence des virus. Ce stage est une initiation à l'utilisation du système d'exploitation Linux et des lignes de commande pour les non informaticiens, ainsi qu'une initiation à l'écriture et l'emploi de scripts (petits programmes) pour faciliter l'analyse de données. Il s'agit pour des débutants ou quasi débutants Linux d'utiliser le système et d'acquérir l'autonomie nécessaire pour résoudre les besoins communs simples d'analyse par la combinaison des méthodes à travers des scripts.\n \n", "homepage": "http://cnrsformation.cnrs.fr/stage-17285-Linux-et-script-pour-la-bioinformatique…", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Linux" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "S'acquitter des frais d'inscription, notions de base en informatique : fichiers, répertoires, etc.\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2019-11-04", "end_date": "2019-11-06", "venue": "", "city": "Montpellier", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 39, "name": "NGS sous 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": "2017-03-13", "end_date": null, "venue": "", "city": "Jouy en Josas", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 71, "name": "Atelier Inserm 246 | Gestion et réutilisation des données en santé : enjeux méthodologiques", "shortName": "", "description": "Aperçu des outils et bonnes pratiques pour une meilleure gestion, un partage responsable et une réutilisation des données en santé", "homepage": "https://ateliersinserm.dakini.fr/atelier.246.gestion.et.reutilisation.des.donnee…", "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/inserm_0.png", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2017-05-15", "end_date": "2017-05-17", "venue": "", "city": "Bordeaux", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 408, "name": "9ème Ecole de Bioinformatique AVIESAN-IFB-Inserm", "shortName": "EBAII 2020", "description": "La formation s’adresse à des biologistes directement impliqués dans des projets “Next Generation Sequencing” (NGS). Cette édition de l’école aborde les nouveaux enjeux technologiques: elle s’articulera autour de trois ateliers en session parallèle (RNA-seq, ChIP-seq, variants DNA-seq), et inclura une introduction à l’intégration des données, ouverture aux approches “single-cell” ainsi qu’aux technologies lectures longues (Nanopore, PacBio).\r\nL’école vise à introduire les concepts et à manipuler les outils informatiques et à en interpréter les résultats. Elle est basée sur une alternance de courtes sessions théoriques et d’ateliers pratiques. 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://ressources.france-bioinformatique.fr/fr/evenements/ebaii2020", "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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For this edition, new courses/practicals will focus on spatial transcriptomics, cell phenotyping and additional multi-omics.\r\n\r\nA wide range of single cell topics will be covered in lectures, demonstrations and practical classes. Among others, the areas and issues to be addressed will include the choice of the most appropriate single-cell sequencing technology, the experimental design and the bioinformatics and statistical methods and pipelines. For this edition, new courses/practicals will focus on spatial transcriptomics, cell phenotyping and additional multi-omics.\r\n\r\nRequirements : Participants must have prior experience on NGS data analysis with everyday use of R and good knowledge of Unix command line. Before the training, participants will be asked to familiarize themselves with the processing and primary analyses steps of scRNA-seq datasets with provided pedagogic material.\r\n\r\nIt is not necessary to have personal single-cell data to analyse.", "homepage": "https://www.france-bioinformatique.fr/formation/single-cell-2022/", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [ "Master", "Autre (Diplôme universitaire, école d'ingénieur ...)" ], "openTo": "Everyone", "accessConditions": "None", "maxParticipants": 30, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/644/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 4, "name": "IFB - ELIXIR-FR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api" } ], "organisedByTeams": [], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/sincellTE_logo_0_2.png", "updated_at": "2022-09-15T13:10:14.790898Z", "type": "Training course", "start_date": "2022-01-09", "end_date": "2022-01-14", "venue": "Roscoff Biological Station\r\nPlace Georges Teissier", "city": "Roscoff", "country": "France", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": "2021-09-15", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 396, "name": "Linking gene and function, comparative genomics tools for biologists", "shortName": "", "description": "More than twenty years after the first bacterial genome has been sequenced, microbiologists are faced with an avalanche of genomic data. However the quality of the functional annotations of the sequenced proteome is very poor with more than half of the sequenced proteins remaining of unknown function. After taking this course, students should master an array of web-based tools to help to predict gene function. This will allow them to generate in silico based functional predictions and produce illustration for manuscripts that use comparative genomic methods. For background read (https://www.ncbi.nlm.nih.gov/pubmed/20001958)\n", "homepage": "https://c3bi.pasteur.fr/training-linking-gene-and-function-comparative-genomics-…", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [ "Functional and regulatory pathways comparison", "Genomes comparison", "Comparative genomics", "Databases and information systems" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2017-10-23", "end_date": "2017-10-25", "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": 265, "name": "Analyse de données métagénomiques 16S", "shortName": "", "description": "\n\n\n\n\n\n\n\nObjectifs\nCette formation est dédiée à l'analyse de données de type \"métagénomique amplicon\" issues des technolo-gies de séquençage 454 et Illumina. La formation couvre les grandes étapes d'un pipeline d'analyse bioinformatique sous Galaxy (FROGS) pour transformer les séquences en tables d'abondances puis présente des outils statistiques sous R (phyloseq) qui permettent de décrire et comparer les échantillons à partir de ces tables.\n\n \nProgramme\n\nJours 1 et 2 : Analyses Bioinformatiques sous Galaxy\nIntroduction générale\nBrefs rappels sur l'environnement Galaxy\nPrésentation des données issues des différentes technologies de séquençage\nPrétraitement des données\nClustering des séquences, construction des OTUs\nDétection de chimères\nAnnotation taxonomique\nFiltrage des données de comptages\nOutils de visualisation\nConstruction de workflow et configuration de FROGS\nLimite des données et des méthodes \nJour 3 et 4 : Analyses Statistiques sous Rstudio\nIntroduction générale\nImport, manipulation et visualisation des données\nMesure de diversités : Unifrac, Bray-Curtis, etc.\nOrdination et réduction de dimension : MDS\nClustering et Heatmap\nComparaison d'échantillons : PERMANOVA, adonis\n▫ Introduction générale\n▫ Brefs rappels sur l'environnement Galaxy\n▫ Présentation des données issues des différentes technologies de séquençage ▫ Prétraitement des données\n▫ Clustering des séquences, construction des OTUs\n▫ Détection de chimères\n▫ Annotation taxonomique\n▫ Filtrage des données de comptages\n▫ Outils de visualisation\n▫ Construction de workflow et configuration de FROGS\n▫ Limite des données et des méthodes\n\n\n\n\n\nJour 3 : Analyses Statistiques sous Rstudio\n\n\t▫ Introduction générale\n\t\n\n\t▫ Import et manipulation des données\n\t\n\n\t▫ Mesure de diversités : Unifrac, Bray-Curtis, etc.\n\t\n\n\t▫ Ordination et réduction de dimension : MDS\n\t\n\n\t▫ Clustering et Heatmap\n\t\n\n\t▫ Comparaison d'échantillons : PERMANOVA, adonis \n\t\n\n\n\n\n\n\n\n\n", "homepage": "http://migale.jouy.inra.fr/", "is_draft": false, "costs": [], "topics": [], "keywords": [ "NGS Data Analysis", "Metagenomics", "Galaxy" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Ce cycle est ouvert à l'ensemble des agents de l'INRA et aux extérieurs.\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2017-03-26", "end_date": null, "venue": "", "city": "", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 389, "name": "Metabarcoding analyses (using FROGS in Galaxy and Phyloseq)", "shortName": "", "description": "This course offers an introduction to metabarcoding analyses at two different levels/steps: bioinformatics with FROGS pipeline in the Galaxy environment, biostatistics with PhyloSeq R package. This includes preprocessing, clustering and OTU picking, taxonomic assignation, estimation of diversity, visualization of statistics results.\nPrerequisites\nGalaxy, R knowledge\n\nProgram\nIntroduction to metagenomics and metabarcoding\nPre-processing, Clustering, taxonomic affiliation (FROGS)\nHandling and visualizing OTU table using PhyloSeq R package (PhyloSeq)\n\n\nLearning objectives\nManipulate tools available for metabarcoding analysis\nStudy sample diversity by using NGS and post-NGS analysis tools\nVisualize diversity metrics in metabarcoding approach\n\n\nInstructors\nJulie Orjuela - julie.orjuela@ird.fr\nFlorentin Constancias - florentin.constancias@cirad.fr\nAlexis Dereeper - alexis.dereeper@ird.fr\n\n \n", "homepage": "https://southgreenplatform.github.io/trainings//metabarcoding/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 24, "name": "South Green", "url": "https://catalogue.france-bioinformatique.fr/api/team/South%20Green/?format=api" } ], "logo_url": "", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2018-04-22", "end_date": null, "venue": "", "city": "Centre IRD, Montpellier", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null } ] }
