Event List
Handles creating, reading and updating events.
GET /api/event/?format=api&offset=100&ordering=-id
{ "count": 605, "next": "https://catalogue.france-bioinformatique.fr/api/event/?format=api&limit=20&offset=120&ordering=-id", "previous": "https://catalogue.france-bioinformatique.fr/api/event/?format=api&limit=20&offset=80&ordering=-id", "results": [ { "id": 575, "name": "Python avancé : 2025", "shortName": "Advanced Python (2024)", "description": "Objectifs pédagogiques\r\n\r\nA l’issue de la formation, les stagiaires seront capables de :\r\n\r\nconnaître les éléments avancés du langage de programmation Python,\r\nles appliquer sur des cas concrets en bioinformatique,\r\nêtre autonome dans la mise en place de tâches complexes visant à extraire et re-formater des données issues de fichiers textes,\r\ndans le cadre de traitement de données via le langage de programmation Python\r\n\r\nProgramme\r\n\r\nFonctions\r\nExpressions régulières\r\nGestion des erreurs\r\nBiopython\r\nQuelques modules de bioinformatique\r\nRéalisation de programmes et de Notebooks Jupyter\r\nIllustration avec des exercices de manipulation de fichiers de séquences", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0605" ], "keywords": [ "Python Language" ], "prerequisites": [ "Python - basic knowledge" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 88, "name": "BioinfOmics", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api" } ], "organisedByTeams": [ { "id": 10, "name": "MIGALE", "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api" } ], "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png", "updated_at": "2025-01-23T15:53:46.278385Z", "type": "Training course", "start_date": "2025-04-02", "end_date": "2025-04-03", "venue": "https://migale.inrae.fr/how-to-come", "city": "Jouy-en-Josas", "country": "France", "geographical_range": "", "trainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/199/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/175/?format=api" ], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "future", "registration_opening": "2025-01-19", "registration_closing": "2025-03-18", "registration_status": "open", "courseMode": "Onsite" }, { "id": 574, "name": "Initiation à Python / Introduction to Python (2024 session)", "shortName": "Introduction to Python (2024)", "description": "Objectifs pédagogiques\r\n\r\nA l’issue de la formation, les stagiaires seront capables de :\r\n\r\nmaitriser les éléments de base du langage de programmation Python,\r\nles appliquer sur des cas concrets en bioinformatique,\r\nêtre autonome dans la mise en place de tâches simples d’extraction d’informations, dans le cadre de traitement de données via le langage de programmation Python.\r\n\r\nProgramme\r\n\r\nPrésentation de Python\r\nVariables Python\r\nStructures de contrôle\r\nGestion de fichiers\r\nRéalisation de programmes simples et de Notebooks Jupyter\r\nMise en pratique avec des exercices de manipulation de fichiers de séquences", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0605" ], "keywords": [ "Python Language" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 88, "name": "BioinfOmics", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api" } ], "organisedByTeams": [ { "id": 10, "name": "MIGALE", "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api" } ], "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png", "updated_at": "2024-01-17T11:12:29.553873Z", "type": "Training course", "start_date": "2024-03-26", "end_date": "2024-03-27", "venue": "https://migale.inrae.fr/how-to-come", "city": "Jouy-en-Josas", "country": "France", "geographical_range": "", "trainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/199/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/175/?format=api" ], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2024-01-08", "registration_closing": "2024-03-12", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 573, "name": "Introduction aux bonnes pratiques pour des analyses reproductibles (2024 session)", "shortName": "Good practices for better reproducibility of analyses (2024)", "description": "Objectifs pédagogiques\r\n\r\nL’objectif de cette formation est d’initier les apprenants aux bonnes pratiques pour la reproductibilité des analyses. Ils apprendront à rédiger des rapports d’analyse en R Markdown et à les déposer sur un dépôt GitHub. Les principes FAIR (faciles à trouver, accessibles, interopérables et réutilisables) et les bases de la rédaction de PGD (plans de gestion de données) seront également présentés. Durant la formation, nous utiliserons RStudio et GitHub.\r\n\r\nProgramme\r\n\r\nPrincipes et enjeux de la recherche reproductible\r\nUtilisation de GitHub\r\nGestion des versions d’un document\r\nRédaction de document computationnel\r\nPartage d’un rapport avec ses collaborateurs\r\nPrincipes FAIR et PGD", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0605" ], "keywords": [ "Reproducibility" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 88, "name": "BioinfOmics", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api" } ], "organisedByTeams": [ { "id": 10, "name": "MIGALE", "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api" } ], "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png", "updated_at": "2024-01-17T11:04:05.427843Z", "type": "Training course", "start_date": "2024-03-21", "end_date": "2024-03-21", "venue": "https://migale.inrae.fr/how-to-come", "city": "Jouy-en-Josas", "country": "France", "geographical_range": "", "trainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/396/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/743/?format=api" ], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2024-01-08", "registration_closing": "2024-03-07", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 572, "name": "Analyse de données métagénomiques shotgun / shotgun metagenomics (2024 session)", "shortName": "Shotgun metagenomics (2024)", "description": "Objectifs pédagogiques\r\n\r\nCette formation est dédiée à l’analyse de données métagénomiques procaryotes de type « shotgun » issues de la technologie de séquençage Illumina. Nous présenterons les étapes bioinformatiques nécessaires pour nettoyer les données brutes et les caractériser d’un point de vue taxonomique. Nous aborderons ensuite les différentes stratégies à employer pour assembler les reads et obtenir des comptages sur des gènes prédits. Enfin nous présenterons quelques outils pour obtenir une annotation fonctionnelle des échantillons. A l’issue des 2 jours de formation, les stagiaires connaîtront le périmètre, les avantages et limites des analyses de données de séquençage shotgun. Ils seront capables d’utiliser les outils présentés sur les jeux de données de la formation. L’ensemble des TP se déroulera sur l’infrastructure de Migale et nécessite une pratique courante de la ligne de commande.\r\n\r\nProgramme\r\n\r\nIntroduction générale sur les données métagénomiques\r\nAssignation taxonomique\r\nNettoyage des données brutes\r\nAssemblage / Binning\r\nPrédiction de gènes procaryotes\r\nAnnotation fonctionnelle\r\nConclusion, limites des méthodes", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_3697" ], "keywords": [ "Metagenomics" ], "prerequisites": [ "Linux/Unix", "Cluster" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 88, "name": "BioinfOmics", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api" } ], "organisedByTeams": [ { "id": 10, "name": "MIGALE", "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api" } ], "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png", "updated_at": "2024-01-17T10:55:12.140373Z", "type": "Training course", "start_date": "2024-03-18", "end_date": "2024-03-19", "venue": "https://migale.inrae.fr/how-to-come", "city": "Jouy-en-Josas", "country": "France", "geographical_range": "", "trainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/396/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/473/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/743/?format=api" ], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2024-01-08", "registration_closing": "2024-03-04", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 571, "name": "Développement d’une application avec R Shiny (session 2024)", "shortName": "Shiny application development (2024)", "description": "Objectifs pédagogiques\r\n\r\nÀ l’issue de la formation, les stagiaires connaîtront les principes de bases et le fonctionnement du package “Shiny”. Ils et elles seront capables de créer leurs premières applications web interactives à partir de scripts R. Les solutions de déploiement d’applications Shiny seront également abordées.\r\n\r\nProgramme\r\n\r\nPrincipes généraux et fonctionnement d’une application Shiny\r\nDéveloppement d’applications Shiny\r\nDéploiement d’applications Shiny", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0605" ], "keywords": [ "Shiny" ], "prerequisites": [ "Basic knowledge of R" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 88, "name": "BioinfOmics", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api" } ], "organisedByTeams": [ { "id": 10, "name": "MIGALE", "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api" } ], "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png", "updated_at": "2024-01-17T10:46:26.358781Z", "type": "Training course", "start_date": "2024-03-14", "end_date": "2024-03-14", "venue": "https://migale.inrae.fr/how-to-come", "city": "Jouy-en-Josas", "country": "France", "geographical_range": "", "trainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/743/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/175/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/415/?format=api" ], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2024-01-08", "registration_closing": "2024-02-29", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 570, "name": "Introduction au language R / Introduction to R langage (2024 session)", "shortName": "Introduction to R language (2024)", "description": "Objectifs pédagogiques :\r\nÀ l’issue de la formation, les stagiaires connaîtront les principales fonctionnalités du langage R et ses principes. Ils seront capables de les appliquer pour effectuer des calculs ou des représentations graphiques simples. Ils seront de plus autonomes pour manipuler leurs tableaux de données.\r\nAttention : ce module n’est ni un module de statistique, ni un module d’analyse statistique des données.\r\n\r\nProgramme :\r\n* Structures et manipulation de données\r\n* Principaux éléments du langage de programmation (boucle, fonctions…)\r\n* Différentes représentations graphiques de données/résultats (plot, histogramme, boxplot)", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0605" ], "keywords": [ "R Language" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 88, "name": "BioinfOmics", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api" } ], "organisedByTeams": [ { "id": 10, "name": "MIGALE", "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api" } ], "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png", "updated_at": "2024-01-17T10:35:28.255758Z", "type": "Training course", "start_date": "2024-03-11", "end_date": "2024-03-12", "venue": "https://migale.inrae.fr/how-to-come", "city": "Jouy-en-Josas", "country": "France", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2024-01-08", "registration_closing": "2024-02-26", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 569, "name": "Graphiques sous R avec ggplot2 / Graphics with R-ggplot2 (2024 session)", "shortName": "Graphics with R-ggplot2 (2024)", "description": "Objectifs pédagogiques :\r\nÀ l’issue de la formation, les stagiaires connaîtront les principales fonctionnalités du package R « ggplot2 » et la démarche sous-jacente pour construire un graphique à partir d’un tableau de données. Ils seront capables de réaliser plusieurs types de représentations graphiques, telles que des nuages de points, des courbes, des histogrammes, des diagrammes en bâtons, des boxplots, des heatmaps, etc. Les stagiaires pourront apporter leur propre tableau de données et pratiquer dessus en fin de formation. \r\n\r\nProgramme :\r\n- Principes généraux liés au package ggplot2 \r\n- Principales fonctions graphiques pour réaliser des nuages de points, des histogrammes, des boxplots, etc. \r\n- Principales fonctions pour jouer sur les coloriages en fonction d’une variable, sur les échelles de couleurs, sur les graduations, sur les représentations multiples, etc.", "homepage": "https://migale.inrae.fr/trainings", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_2269", "http://edamontology.org/topic_0605", "http://edamontology.org/topic_0091" ], "keywords": [ "Représentations graphiques" ], "prerequisites": [ "Langage R de base" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 88, "name": "BioinfOmics", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api" } ], "organisedByTeams": [ { "id": 10, "name": "MIGALE", "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api" } ], "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png", "updated_at": "2024-01-17T10:24:43.054528Z", "type": "Training course", "start_date": "2024-03-13", "end_date": "2024-03-13", "venue": "https://migale.inrae.fr/how-to-come", "city": "Jouy-en-Josas", "country": "France", "geographical_range": "", "trainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/422/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/745/?format=api" ], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2024-01-08", "registration_closing": "2024-02-28", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 568, "name": "Formation Principes FAIR dans un projet de bioinformatique - Session 1 - Strasbourg", "shortName": "FAIR-Bioinfo-Strasbourg_session1", "description": "Cette formation sur 3 jours est destinée à des bioinformaticiens et biostatisticiens souhaitant acquérir des compétences théoriques et pratiques sur les principes \"FAIR\" (Facile à trouver, Accessible, Interopérable, Réutilisable) appliqués à un projet d'analyse et/ou de développement.", "homepage": "https://sygefor.reseau-urfist.fr/#/training/10387/12552/66e8217a2c8c491a60eeed9f5a167db3", "is_draft": false, "costs": [ "Free to academics" ], "topics": [], "keywords": [ "Programming Languages & Computer Sciences", "FAIR", "Snakemake", "Docker" ], "prerequisites": [ "Linux - Basic Knowledge" ], "openTo": "Everyone", "accessConditions": "Academics", "maxParticipants": 14, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/124/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/563/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 79, "name": "UPR2357", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/UPR2357/?format=api" }, { "id": 83, "name": "IGBMC", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IGBMC/?format=api" } ], "organisedByTeams": [ { "id": 14, "name": "BiGEst", "url": "https://catalogue.france-bioinformatique.fr/api/team/BiGEst/?format=api" } ], "logo_url": null, "updated_at": "2023-12-20T15:48:19.995591Z", "type": "Training course", "start_date": "2024-04-09", "end_date": "2024-04-11", "venue": "", "city": "Strasbourg", "country": "France", "geographical_range": "", "trainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/737/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/124/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/563/?format=api" ], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2023-12-20", "registration_closing": "2024-03-10", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 567, "name": "Reproducible Research 2023", "shortName": "", "description": "The following topics and tools are covered in the course:\r\n\r\n Data management\r\n Project organisation\r\n Git\r\n Conda\r\n Snakemake\r\n Nextflow\r\n R Markdown\r\n Jupyter\r\n Docker\r\n Singularity\r\n\r\nAt the end of the course, students should be able to:\r\n\r\n Use good practices for data analysis and management\r\n Clearly organise their bioinformatic projects\r\n Use the version control system Git to track and collaborate on code\r\n Use the package and environment manager Conda\r\n Use and develop workflows with Snakemake and Nextflow\r\n Use R Markdown and Jupyter Notebooks to document and generate automated reports for their analyses\r\n Use Docker and Singularity to distribute containerized computational environments", "homepage": "https://southgreenplatform.github.io/training_reproducible_research/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [ "Linux - Basic Knowledge" ], "openTo": "Internal personnel", "accessConditions": "Open to South Green close collaborators", "maxParticipants": 13, "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": "https://southgreenplatform.github.io/trainings//images/southgreenlong.png", "updated_at": "2023-12-04T15:35:44.983725Z", "type": "Training course", "start_date": "2023-06-14", "end_date": "2023-06-16", "venue": "", "city": "Montpellier", "country": "", "geographical_range": "", "trainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/737/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/733/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/734/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/773/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/774/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/558/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/519/?format=api" ], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": "Onsite" }, { "id": 566, "name": "Metabarcoding analyses 2022", "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.\r\nPrerequisites\r\nGalaxy, R knowledge\r\n\r\nProgram\r\nIntroduction to metagenomics and metabarcoding\r\nPre-processing, Clustering, taxonomic affiliation (FROGS)\r\nHandling and visualizing OTU table using PhyloSeq R package (PhyloSeq)\r\n\r\n\r\nLearning objectives\r\nManipulate tools available for metabarcoding analysis\r\nStudy sample diversity by using NGS and post-NGS analysis tools\r\nVisualize diversity metrics in metabarcoding approach\r\n\r\n\r\nInstructors\r\nJulie Orjuela - julie.orjuela@ird.fr\r\nFlorentin Constancias - florentin.constancias@cirad.fr\r\nAlexis Dereeper - alexis.dereeper@ird.fr", "homepage": "https://southgreenplatform.github.io/trainings//metabarcoding/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Open to South Green close collaborators", "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": "https://southgreenplatform.github.io/trainings//images/southgreenlong.png", "updated_at": "2023-12-04T15:31:47.907535Z", "type": "Training course", "start_date": "2022-06-27", "end_date": "2022-06-28", "venue": "", "city": "montpellier", "country": "france", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": "Onsite" }, { "id": 565, "name": "Advanced HPC Trainings 2022", "shortName": "", "description": "This course continues the explanation on how to work on HPC Southgreen clusters. It is intended for experienced users, with the goals of improving LC user productivity and minimizing the obstacles. New notions and tools are presented such as job arrays, basic softwares installation,module environment and singularity. 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