Training List
Handles creating, reading and updating training events.
GET /api/training/?format=api&offset=340&ordering=shortName
{ "count": 370, "next": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=360&ordering=shortName", "previous": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=320&ordering=shortName", "results": [ { "id": 361, "name": "Initiation à Linux / Introduction to Linux", "shortName": "Initiation à Linux", "description": "Objectifs pédagogiques\r\nÀ l'issue de la formation, les stagiaires connaîtront les principales commandes Linux et sauront utiliser le système Linux.\r\n\r\nProgramme\r\n* Connexion (ssh) et transferts de fichiers (scp, rsync)\r\n* Interfaces graphiques (Gnome, KDE) / émulateurs\r\n* Aide en ligne\r\n* Utilisation du shell : le rappel des commandes, l’historique, la complétion\r\n* Système de fichiers : arborescence et chemin d’accès, le répertoire d’accueil…\r\n* Gestion des fichiers et des répertoires\r\n* Principe de protection : les attributs sur les fichiers, les droits d’accès", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0605" ], "keywords": [ "Linux" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "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": "2024-01-18T14:43:04.391836Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Biologists" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "À l'issue de la formation, les stagiaires connaîtront les principales commandes Linux et sauront utiliser le système Linux.", "hoursPresentations": 1, "hoursHandsOn": 5, "hoursTotal": 6, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/586/?format=api" ] }, { "id": 296, "name": "Initiation à l’utilisation de Galaxy", "shortName": "Initiation Galaxy", "description": "Objectifs pédagogiques :\r\nCette formation propose une introduction sur l’interface utilisateur et les fonctionnalités générales d’une plateforme Galaxy.\r\nA l’issue de la formation, les apprenants seront en mesure de :\r\n* connaître les caractéristiques et le fonctionnement d’un portail Galaxy,\r\n* appliquer sur des cas concrets en bioinformatique,\r\n* être autonome dans le traitement de fichiers et l’exécution d’outils.\r\n\r\nProgramme :\r\n* Prise en main d’un portail Galaxy\r\n* Utilisation de l’historique\r\n* Téléchargement des données à traiter\r\n* Manipulation de fichiers\r\n* Paramétrage et exécution d’outils\r\n* Récupération et visualisation de résultats", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0605" ], "keywords": [ "Galaxy" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "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": "2024-01-18T12:44:57.722597Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "Cette formation propose une introduction sur l’interface utilisateur et les fonctionnalités générales d’une plateforme Galaxy.\r\n\r\nA l’issue de la formation, les apprenants seront en mesure de :\r\n* connaître les caractéristiques et le fonctionnement d’un portail Galaxy,\r\n* appliquer sur des cas concrets en bioinformatique,\r\n* être autonome dans le traitement de fichiers et l’exécution d’outils.", "hoursPresentations": 1, "hoursHandsOn": 5, "hoursTotal": 6, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/442/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/580/?format=api" ] }, { "id": 357, "name": "Manipulation de données avec R, introduction à tidyverse", "shortName": "Introduction à tidyverse", "description": "Objectifs pédagogiques\r\nA l’issue de la formation, les stagiaires seront capables de :\r\n* utiliser les principales fonctions des packages dplyr et tidyr de l’écosystème du « tidyverse »\r\n* lire les données et les ranger dans un format « tidy »\r\n* manipuler les données : filtrer, sélectionner, trier, produire des résultats par groupe, fusionner plusieurs tables\r\n* mettre en forme et pivoter les tables de données\r\n\r\nProgramme\r\n* Principes du tidyverse\r\n* Principales fonctions de manipulation de données du package dplyr : ajouter de nouvelles variables, sélectionner des colonnes, filtrer des lignes, trier, grouper, fusionner des tables\r\n* Enchaînements des opérations à l’aide de « pipe »\r\n* Mise en forme, jointure et pivot de données avec le package tidyr\r\n* Mise en application sur un exemple d’analyse de données de transcriptomique.", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0605" ], "keywords": [ "R Language", "Tidyverse" ], "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": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "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": "2024-01-18T13:15:41.633863Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Intermediate", "trainingMaterials": [], "learningOutcomes": "A l’issue de la formation, les stagiaires seront capables de :\r\n\r\nutiliser les principales fonctions des packages dplyr et tidyr de l’écosystème du « tidyverse »\r\nlire les données et les ranger dans un format « tidy »\r\nmanipuler les données : filtrer, sélectionner, trier, produire des résultats par groupe, fusionner plusieurs tables\r\nmettre en forme et pivoter les tables de données", "hoursPresentations": 2, "hoursHandsOn": 10, "hoursTotal": 12, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/700/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/579/?format=api" ] }, { "id": 289, "name": "Introduction to galaxy: looking for variants in prokaryotes", "shortName": "Introduction to galaxy", "description": "This course will focus on the technical aspects of using a galaxy server. Accessible without any prerequisite in computer science, it will allow you to master the different fundamental tools of galaxy and will open the doors of bioinformatics analysis for your different projects.\r\nDifferent questions will be addressed through an example of variants analysis in a prokaryotic organism. At the end of this course, on any accessible galaxy instance, you will be able to:\r\n- upload your data\r\n- map them on a reference genome\r\n- find the variants (SNPs) and analyze the results\r\n- generate, manipulate and share your workflows, data and histories\r\n- find the right tools for other analyses and use them in your own project.\r\n\r\nUnless all participants speak French, the course will be taught in English.", "homepage": "https://pliniuscursus.univ-amu.fr/formation/galaxy-platform/", "is_draft": false, "costs": [ "Free to academics" ], "topics": [ "http://edamontology.org/topic_0091", "http://edamontology.org/topic_0622" ], "keywords": [], "prerequisites": [ "Master" ], "openTo": "Internal personnel", "accessConditions": "The first sessions are only available for IM2B students.", "maxParticipants": 12, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 23, "name": "PACA-Bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/team/PACA-Bioinfo/?format=api" } ], "logo_url": null, "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [ "Graduate" ], "audienceRoles": [ "Biologists" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 1, "hoursHandsOn": 5, "hoursTotal": 6, "personalised": null, "event_set": [] }, { "id": 287, "name": "Introduction to Oxford Nanopore Technology data analyses", "shortName": "Introduction to ONT data analyses", "description": "This course offers an introduction to ONT data analysis. It includes 5 issues: basecalling, reads quality control, assemblies and polishing/correction, contig quality and structural variants detection.", "homepage": "https://southgreenplatform.github.io/trainings//ont/", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3673", "http://edamontology.org/topic_0196", "http://edamontology.org/topic_3168" ], "keywords": [], "prerequisites": [ "Linux and knowledge of NGS formats" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 15, "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": "2023-01-24T10:21:58.467251Z", "audienceTypes": [ "Professional (initial)" ], "audienceRoles": [ "Life scientists", "Biologists" ], "difficultyLevel": "Novice", "trainingMaterials": [ { "id": 1, "name": "SG-ONT-slides", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/SG-ONT-slides/?format=api" } ], "learningOutcomes": "* Understanding limits and advantages of ONT technology\r\n* Manipulating ONT data on a virtual machine on jupyter environment\r\n* Handling mapping, assembly, polishing tools and be able to analyse your own data\r\n* Detecting structural variations using long reads", "hoursPresentations": 6, "hoursHandsOn": 6, "hoursTotal": 12, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/441/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/450/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/562/?format=api" ] }, { "id": 355, "name": "Initiation à Python / Introduction to Python", "shortName": "Introduction to Python", "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": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "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": "2024-01-18T13:16:05.304441Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "A 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.", "hoursPresentations": 2, "hoursHandsOn": 10, "hoursTotal": 12, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/701/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/574/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/691/?format=api" ] }, { "id": 351, "name": "Introduction au language R / Introduction to R langage", "shortName": "Introduction to R langage", "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": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "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": "2024-01-18T12:51:01.486572Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 2, "hoursHandsOn": 10, "hoursTotal": 12, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/570/?format=api" ] }, { "id": 392, "name": "Introduction au language R / Introduction to R langage", "shortName": "Introduction to R langage", "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": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "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": "2025-01-23T14:09:34.394672Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 2, "hoursHandsOn": 10, "hoursTotal": 12, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/684/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/679/?format=api" ] }, { "id": 363, "name": "Introduction au text-mining avec AlvisNLP", "shortName": "Introduction to text-mining with AlvisNLP", "description": "Objectifs pédagogiques\r\nCette formation est dédiée à l’analyse de données textuelles (text-mining). L’objectif est l’acquisition des principales techniques pour la Reconnaissance d’Entités Nommées (REN) à partir de textes. Les entités nommées étudiées dans cette formation sont des objets ou concepts d’intérêts mentionnés dans les articles scientifiques ou les champs en texte libre (taxons, gènes, protéines, marques, etc.).\r\n\r\nLes participants vont acquérir les compétences pratiques nécessaires pour effectuer de façon autonome une première approche pour une application de text-mining. Le format est celui de Travaux Pratiques utilisant AlvisNLP, un outil pour la création de pipelines en text-mining développé par l’équipe Bibliome de l’unité MaIAGE. La formation s’adresse à des chercheurs et ingénieurs en (bio)-informatique ou en maths-info-stats appliquées\r\n\r\nProgramme\r\n* Présentation du text-mining et de la Reconnaissance des Entités Nommées (REN)\r\n* Travaux Pratiques sur des techniques de REN en utilisant AlvisNLP\r\n* Projection de lexiques\r\n* Application de patrons\r\n* Apprentissage automatique", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0605", "http://edamontology.org/topic_3474" ], "keywords": [ "Text mining" ], "prerequisites": [ "Linux - Basic Knowledge" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "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": "2024-01-18T14:56:19.822106Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Life scientists", "Biologists", "Bioinformaticians" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "Cette formation est dédiée à l’analyse de données textuelles (text-mining). L’objectif est l’acquisition des principales techniques pour la Reconnaissance d’Entités Nommées (REN) à partir de textes. Les entités nommées étudiées dans cette formation sont des objets ou concepts d’intérêts mentionnés dans les articles scientifiques ou les champs en texte libre (taxons, gènes, protéines, marques, etc.).\r\n\r\nLes participants vont acquérir les compétences pratiques nécessaires pour effectuer de façon autonome une première approche pour une application de text-mining. Le format est celui de Travaux Pratiques utilisant AlvisNLP, un outil pour la création de pipelines en text-mining développé par l’équipe Bibliome de l’unité MaIAGE. La formation s’adresse à des chercheurs et ingénieurs en (bio)-informatique ou en maths-info-stats appliquées", "hoursPresentations": 5, "hoursHandsOn": 7, "hoursTotal": 12, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/588/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/680/?format=api" ] }, { "id": 386, "name": "Interactive Online Companionship - R formation", "shortName": "IOC - R", "description": "InforBio offers online bioinformatics training tailored to the needs of research labs, with small group sessions to ensure personalized learning. Our program is designed to help you acquire key skills for independent data analysis.\r\n\r\nWe offer a comprehensive 6-month program, including a post-training feedback session to support practical application.\r\n\r\nTraining Program\r\nR Training (January to March 2025) – 10 sessions of 2.5 hours – €800 for academics\r\nThis course covers the basics of R: data organization and filtering, basic statistical analyses, and creating publication-ready graphics. The goal is to make you self-sufficient in using R for your own analyses.\r\n\r\n\r\nKey Highlights:\r\nSmall group sessions for interactive and personalized learning.\r\nTailored feedback on your own data to reinforce the learning process.\r\nLimited spots available, registration is now open.", "homepage": "https://inforbio.github.io/ioc_r_scrnaseq.html", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [ "none" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 16, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/809/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 18, "name": "IBiSA", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IBiSA/?format=api" }, { "id": 19, "name": "Sorbonne Université", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Sorbonne%20Universit%C3%A9/?format=api" } ], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "https://github.com/InforBio/InforBio.github.io/blob/main/images/logoInforBio_fond_blanc.png?raw=true", "updated_at": "2024-12-10T08:59:06.862553Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 25, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/663/?format=api" ] }, { "id": 387, "name": "Interactive Online Companionship - SingleCell RNAseq Analysis with R Seurat", "shortName": "IOC - SingleCell", "description": "InforBio offers online bioinformatics training tailored to the needs of research labs, with small group sessions to ensure personalized learning. Our program is designed to help you acquire key skills for independent data analysis.\r\n\r\nWe offer a comprehensive 3-month program, including a post-training feedback session to support practical application.\r\n\r\nAnalyse de données scRNAseq (avril à juin 2025) – 10 sessions de 2h30 – 2000 € Apprenez à analyser des données de séquençage ARN en cellules uniques grâce à des cas pratiques.Vous travaillerez d’abord sur un jeu de données fourni, puis sur vos propres données, avec un retour personnalisé sur votre projet. Cette formation requiert une bonne maîtrise de R.\r\n\r\nKey Highlights:\r\nSmall group sessions for interactive and personalized learning.\r\nTailored feedback on your own data to reinforce the learning process.\r\nLimited spots available, registration is now open.", "homepage": "https://inforbio.github.io/ioc_r_scrnaseq.html", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "Single-Cell Analysis" ], "prerequisites": [ "R programming" ], "openTo": "Everyone", "accessConditions": "Followed R training or equivalent level", "maxParticipants": 6, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/809/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 18, "name": "IBiSA", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IBiSA/?format=api" }, { "id": 19, "name": "Sorbonne Université", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Sorbonne%20Universit%C3%A9/?format=api" } ], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "https://github.com/InforBio/InforBio.github.io/blob/main/images/logoInforBio_fond_blanc.png?raw=true", "updated_at": "2024-12-10T08:58:56.945439Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Intermediate", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 25, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/665/?format=api" ] }, { "id": 278, "name": "Linux - Initiation / Linux for Beginners", "shortName": "Linux Init", "description": "Objectifs :\r\n- Être capable de se connecter à une machine Linux\r\n- Être capable de transférer des fichiers à partir de/vers une machine Linux\r\n- Être capable de naviguer dans le système de fichiers\r\n- Être capable d’examiner le contenu d’un fichier et de gérer l’espace disque\r\n- Être capable de gérer les droits d’accès aux répertoires et aux fichiers.\r\n- Être capable de gérer le lancement, l’interruption et l’arrêt de processus", "homepage": "https://abims.sb-roscoff.fr/module/linux_init", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3316" ], "keywords": [ "Linux", "Operating systems" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 16, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 65, "name": "SBR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/SBR/?format=api" } ], "organisedByTeams": [ { "id": 4, "name": "ABiMS", "url": "https://catalogue.france-bioinformatique.fr/api/team/ABiMS/?format=api" } ], "logo_url": "https://abims.sb-roscoff.fr/sites/default/files/abims.png", "updated_at": "2025-02-21T08:34:15.576596Z", "audienceTypes": [ "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/712/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/623/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/424/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/499/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/520/?format=api" ] }, { "id": 279, "name": "Annotation and analysis of prokaryotic genomes using the MicroScope platform", "shortName": "MicroScope training", "description": "In an effort to inform members of the research community about our annotation methods, to provide training for collaborators and other scientists who use the MicroScope platfom, and to inform scientific public on the analysis available in PkGDB (Prokaryotic Genome DataBase), we have developed a 4.5-day course in Microbial Genome Annotation and Comparative Analysis using the MaGe graphical interfaces.\r\n\r\nThis course will familiarize attendees with LABGeM’s annotation pipeline and the manual annotation software MaGe (Magnifying Genome) . No specific bioinformatics skill is required: detailed instruction on the algorithm developed in each annotation methods can be found in specific training courses on «Genomic sequences analysis». Here we focus on the general idea behind each method and, above all, the way you can interpret the corresponding results and combine them with other evidences in order to change or correct the current automatic functional annotation of a given gene, if necessary.\r\n\r\nThis course will also describe how to perform effective searches and analysis of procaryotic data using the graphical functionalities of the MaGe’s interfaces. Because of the numerous pre-computation available in our system (results of “common” annotation tools, synteny with all complete bacterial genomes, metabolic pathway reconstruction, fusion/fission events, genomic islands, …), many practical exercises allow attendees to get familiar with the use the MaGe graphical interfaces in order to efficiently explore these sets of results.", "homepage": "https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/training-annotation-analysis-of-prokaryotic-genomes-using-the-microscope-platform/", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0797", "http://edamontology.org/topic_0085", "http://edamontology.org/topic_3301" ], "keywords": [], "prerequisites": [ "Licence" ], "openTo": "Everyone", "accessConditions": "External training sessions can also be scheduled on demand, in France or abroad. See : https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/external-microscope-professional-training-sessions/", "maxParticipants": 12, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 15, "name": "Laboratory of Bioinformatics Analyses for Genomics and Metabolism", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Laboratory%20of%20Bioinformatics%20Analyses%20for%20Genomics%20and%20Metabolism/?format=api" } ], "organisedByOrganisations": [ { "id": 67, "name": "University of Paris-Saclay", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20of%20Paris-Saclay/?format=api" } ], "organisedByTeams": [ { "id": 9, "name": "MicroScope", "url": "https://catalogue.france-bioinformatique.fr/api/team/MicroScope/?format=api" } ], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/plateforme-logo/MicroScope_logo.png", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [ "Undergraduate", "Graduate", "Professional (continued)" ], "audienceRoles": [ "Researchers", "Life scientists", "Biologists", "Curators" ], "difficultyLevel": "Intermediate", "trainingMaterials": [], "learningOutcomes": "Annotation and comparative analysis of bacterial genomes:\r\n\r\n- acquire theoretical and practical knowledge of genome annotation tools (structural and functional annotation, metabolic networks annotation)\r\n- interpret the results of functional annotation tools\r\nperform various comparative analyses : conserved synteny analyses, pan-genome, phylogenetic and metabolic profiles.\r\n- analyse the results of metabolic networks prediction tools and look for candidate genes for enzyme activities.\r\n- use the tools to analyse the genome(s) of interest of participants", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": 31, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/439/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/506/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/436/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/507/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/577/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/576/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/659/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/658/?format=api" ] }, { "id": 360, "name": "Modélisation in silico de structures 3D de protéines. Prédiction de mutations, de fixation de ligands", "shortName": "Modélisation de structures 3D de protéines", "description": "Objectifs pédagogiques\r\nA l’issue de la formation, les stagiaires connaîtront les principales fonctionnalités du logiciel PyMOL. Ils seront capables de les appliquer pour visualiser leur système biologique d’intérêt, et d’effectuer des commandes basiques d’identification de poches catalytiques, de profilage de surface électrostatique, et de mutations d’acides aminés.\r\n\r\nAussi, ils connaîtront les bases et les outils de bioinformatique structurale et seront autonomes pour effectuer des modèles de protéines par prédiction (Alphafold2), calculer les meilleures poses de fixation de leur(s) ligand(s) (Autodock4) et reconstruire l’éventuel assemblage biologique.\r\n\r\nBonus : Ils s’approprieront ces outils avec une demi-journée dédiée à la modélisation de leur système d’étude : protéines, interactions protéines/ADN, arrimage de ligand, etc.\r\n\r\nProgramme\r\nVisualiser :\r\n* Maîtriser les bases de la visualisation des protéines en 3D avec PyMOL.\r\nComprendre :\r\n* Analyser des structures 3D de protéines (RX ou RMN).\r\n* Identifier des homologues avec HHpred.\r\n* Modéliser par prédiction sa protéine d’intérêt avec Alphafold2.\r\nPrédire :\r\n* Savoir calculer des meilleures poses de ligands avec Autodock.\r\n* Prédir et modéliser les mutations in silico.\r\n\r\n- Points forts et limites des différents outils\r\n- ️“hand- on tutorials”\r\n- Plus une session dédiée : «bring your own protein»", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_1317" ], "keywords": [ "Protein structures", "2D/3D", "Protein/protein interaction modelisation" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "id": 88, "name": "BioinfOmics", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api" } ], "organisedByTeams": [], "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png", "updated_at": "2024-01-18T14:36:41.185563Z", "audienceTypes": [ "Professional (initial)" ], "audienceRoles": [ "Biologists", "Bioinformaticians" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "A l’issue de la formation, les stagiaires connaîtront les principales fonctionnalités du logiciel PyMOL. Ils seront capables de les appliquer pour visualiser leur système biologique d’intérêt, et d’effectuer des commandes basiques d’identification de poches catalytiques, de profilage de surface électrostatique, et de mutations d’acides aminés.\r\n\r\nAussi, ils connaîtront les bases et les outils de bioinformatique structurale et seront autonomes pour effectuer des modèles de protéines par prédiction (Alphafold2), calculer les meilleures poses de fixation de leur(s) ligand(s) (Autodock4) et reconstruire l’éventuel assemblage biologique.\r\n\r\nBonus : Ils s’approprieront ces outils avec une demi-journée dédiée à la modélisation de leur système d’étude : protéines, interactions protéines/ADN, arrimage de ligand, etc.", "hoursPresentations": 4, "hoursHandsOn": 8, "hoursTotal": 12, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/585/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/699/?format=api" ] }, { "id": 381, "name": "HOW TO RUN A NF-CORE NEXTFLOW WORKFLOW ON GENOTOUL ?", "shortName": "Nextflow/nf-core", "description": "This training session is organized by the Genotoul bioinfo platform and aims at learning nf-core workflow submission, error understanding, resuming jobs and ressource reservation. We will present and practice:\r\n\r\nthe Nextflow software\r\nthe nf-core community and pipelines\r\nWhat is a singularity image ?\r\nWhere are installed the nf-core workflows ? Which version do I use ?\r\nHow to run a workflow and which config file is used ?\r\nWhich kind of error I can get ?\r\nHow to resume failed jobs?\r\nHow to handle genome indexes ?\r\nHow to monitor my process and then well configure my workflow ?\r\nHow do you best adjust CPU and RAM reservations?\r\nThis is NOT a bioinformatic training on a particular workflow or a training on how to develop a workflow.\r\n\r\nThis training is focused on practice. It consists of several modules with a large variety of exercises:\r\n\r\nStart at 09:00 am\r\nEnd at 17:00 pm", "homepage": "https://bioinfo.genotoul.fr/index.php/events/how-to-run-a-nf-core-nextflow-workflow-on-genotoul-2/", "is_draft": false, "costs": [ "Non-academic: 550€ + 20% taxes (TVA)", "Academic but non-INRAE: 170 € + 20% taxes (TVA)", "For INRAE's staff: 150 € no VAT charged;" ], "topics": [ "http://edamontology.org/topic_0769" ], "keywords": [ "Nextflow" ], "prerequisites": [ "Linux/Unix", "Cluster" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/300/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 15, "name": "MIAT", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/MIAT/?format=api" } ], "organisedByTeams": [ { "id": 22, "name": "Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=api" } ], "logo_url": "http://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png", "updated_at": "2024-06-03T14:51:40.327145Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Life scientists" ], "difficultyLevel": "Novice", "trainingMaterials": [ { "id": 143, "name": "workflows nf-core", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/workflows%20nf-core/?format=api" } ], "learningOutcomes": "", "hoursPresentations": 1, "hoursHandsOn": 6, "hoursTotal": 7, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/636/?format=api" ] }, { "id": 290, "name": "NGS data analysis on the command line", "shortName": "NGS-analysis-cli", "description": "This hands-on course will teach bioinformatic approaches for analyzing Illumina sequencing data. Our goal is to introduce the command line skills you need to make the most of your NGS data. \r\nDuring this 4-day training we will first introduce the Linux environment, shell commands and basic R scripting. And then we will focus on two NGS data analyses -- small RNA-seq and RNA-seq -- based on published datasets from the model organism Arabidopsis thaliana", "homepage": "https://www.ibmp.cnrs.fr/bioinformatics-trainings/", "is_draft": false, "costs": [ "Free to academics" ], "topics": [ "http://edamontology.org/topic_0102", "http://edamontology.org/topic_3170", "http://edamontology.org/topic_2269", "http://edamontology.org/topic_3168" ], "keywords": [], "prerequisites": [ "none" ], "openTo": "Internal personnel", "accessConditions": "This training is dedicated to academics working in a laboratory of Unistra/CNRS.", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/124/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 79, "name": "UPR2357", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/UPR2357/?format=api" } ], "organisedByTeams": [ { "id": 14, "name": "BiGEst", "url": "https://catalogue.france-bioinformatique.fr/api/team/BiGEst/?format=api" } ], "logo_url": null, "updated_at": "2024-01-22T14:51:37.215331Z", "audienceTypes": [], "audienceRoles": [ "Biologists", "Bioinformaticians" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "Applied Knowledge (Know-how):\r\n- Basic proficiency at the Linux command line prompt\r\n- Basic proficiency of R (environment, objects, graphs) \r\n- Next generation sequencing (NGS) file formats; reference genomes - Mapping NGS read data to reference genomes (bowtie, samtools)\r\n- Small RNA-seq analysis; epigenomics applications (ShortStack)\r\n- RNA-seq for transcriptomics; differential gene expression analysis (HISAT2, DESeq2) - Data wrangling and visualization in R (Rstudio, ggplot2)", "hoursPresentations": 12, "hoursHandsOn": 16, "hoursTotal": 28, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/503/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/504/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/589/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/454/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/660/?format=api" ] }, { "id": 306, "name": "Molecular Phylogeny - Level 1", "shortName": "Phylogénie moléculaire - Niveau 1", "description": "OBJECTIF\r\n- Savoir inférer un arbre phylogénétique et l'interpréter\r\n\r\nPRÉREQUIS\r\n- Savoir ce à quoi correspondent des séquences génétiques homologues\r\n- Avoir déjà utilisé les logiciels de base en bioinformatique\r\n- Connaître les notions de base en statistiques (tests, lois probabilistes usuelles, méthodes simples d'estimation de paramètres)\r\n- Avoir des notions de programmation\r\n\r\nPROGRAMME\r\n- Lignes de commandes Linux\r\n- Le format Newick\r\n- Dessin d'arbres\r\n- Alignements multiples et nettoyage\r\n- Modèles d'évolution\r\n- Choix de modèles\r\n- Définitions et propriétés des arbres\r\n- Méthodes de parcimonie\r\n- Méthodes de distance\r\n- Maximum de vraisemblance\r\n- Reconstruction phylogénétique Bayésienne\r\n- Bootstraps et autres supports de branches", "homepage": "", "is_draft": false, "costs": [ "1200 €" ], "topics": [ "http://edamontology.org/topic_0084", "http://edamontology.org/topic_3293", "http://edamontology.org/topic_3299" ], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/241/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 1, "name": "CNRS formation entreprises", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS%20formation%20entreprises/?format=api" } ], "organisedByTeams": [ { "id": 7, "name": "ATGC", "url": "https://catalogue.france-bioinformatique.fr/api/team/ATGC/?format=api" } ], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/ATGClogox120_0.png", "updated_at": "2023-01-24T10:44:55.936489Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "To know how to infer a phylogenetic tree and interpret it.", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": true, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/460/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/509/?format=api" ] }, { "id": 272, "name": "Molecular Phylogeny - Level 2", "shortName": "Phylogénie moléculaire - Niveau 2", "description": "OBJECTIF\r\n- Être capable de tester des hypothèses et d'ajuster des modèles permettant de comprendre l'évolution à l'échelle moléculaire\r\n\r\nPRÉREQUIS\r\n- Avoir déjà utilisé les logiciels de base en phylogénie moléculaire\r\n- Maîtriser les notions de base en statistiques (tests statistiques, principe du bootstrap, intervalles de confiances, etc.) et de probabilités (probabilités jointes / conditionnelles, théorème de Bayes, etc.)\r\n- Maîtriser un langage de programmation\r\n- Notions de phylogénie moléculaire\r\nAvoir suivi le stage \"Phylogénie moléculaire - formation de base\" ou niveau équivalent \r\n\r\nPROGRAMME\r\n- Phylogénétique et génétique des populations\r\n- Détection de sélection positive au sein de séquences codantes\r\n- Datation moléculaire : intégrer fossiles et molécules\r\n- Phylogénomique\r\n- Super-arbres et super-matrices, réconciliations d'arbres\r\n- Visualisation de l'information en phylogénie\r\n- Placement phylogénétique\r\n- Bases d'épidémiologie (modèles en compartiments, ODE, applications, etc)\r\n- Simulations selon une variété de modèles épidémiologiques\r\n- Phylodynamique : combiner épidémiologie et évolution", "homepage": "", "is_draft": false, "costs": [ "Priced", "1200 €" ], "topics": [], "keywords": [ "Phylogeny", "Selection Detection", "Phylogenomics" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/282/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 1, "name": "CNRS formation entreprises", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS%20formation%20entreprises/?format=api" } ], "organisedByTeams": [ { "id": 7, "name": "ATGC", "url": "https://catalogue.france-bioinformatique.fr/api/team/ATGC/?format=api" } ], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/ATGClogox120_0.png", "updated_at": "2023-01-24T10:49:17.913427Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/474/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/511/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/402/?format=api" ] }, { "id": 380, "name": "INTRODUCTION TO PYTHON", "shortName": "Python", "description": "The Toulouse Genotoul bioinformatics platform, organizes a 2 days long training course for non computer scientist and biologists aiming at learning the foundation of Python programming. In this training you will learn the basics of programming (variables, functions, control structures such as “if” condition, “for” loop”), writing simple programs which read files, and write results to others. The training course does not require any knowledge in programming, but basic Linux/bash commands are required (cd, ls).\r\n\r\nThis training focuses on practice. It consists of modules with a large variety of exercises described hereunder (PROVISIONAL SCHEDULE):\r\n\r\nUsing a Jupyter notebook (Day 1).\r\nUsing variables (Day 1).\r\nBasic operations and functions (Day 1).\r\nReading a file, writing to a file (Day 1).\r\nCharacter string manipulation (Day 1).\r\nLists and dictionaries (Day 2).\r\nThe if and for controls (Day 2).\r\nBases of algorithms (Day 2).", "homepage": "https://bioinfo.genotoul.fr/index.php/events/python/", "is_draft": false, "costs": [], "topics": [ "http://edamontology.org/topic_3307" ], "keywords": [ "Python Language" ], "prerequisites": [ "Linux/Unix" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/642/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 15, "name": "MIAT", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/MIAT/?format=api" } ], "organisedByTeams": [ { "id": 22, "name": "Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=api" } ], "logo_url": "http://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png", "updated_at": "2024-06-03T14:42:40.276985Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Life scientists" ], "difficultyLevel": "Novice", "trainingMaterials": [ { "id": 142, "name": "Introduction to python", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Introduction%20to%20python/?format=api" } ], "learningOutcomes": "", "hoursPresentations": 5, "hoursHandsOn": 9, "hoursTotal": 14, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/635/?format=api" ] }, { "id": 379, "name": "Manipulating & Visualizing Data with R", "shortName": "R - DataViz", "description": "Objectifs\r\n- Importer, structurer, transformer et exporter un tableau de données avec R\r\n- Générer des figures de qualité pour, par exemple, une publication scientifique\r\n\r\nProgramme\r\n- Introduction au tidyverse (metapackage pour manipuler, visualiser et analyser des données)\r\n- Import et export de tableaux de données (csv, excel, google sheet, etc.)\r\n- Manipulation de tableaux de données avec dplyr et tidyr (filtre, aggregation, jointure)\r\n- Manipulation de chaînes de caractères et de dates avec stringr et lubridate\r\n- Introduction aux concepts de visualisation de données\r\n- Apprendre à utiliser ggplot2 grâce à esquisse\r\n- Partager ses résultats avec Quarto", "homepage": "https://abims.sb-roscoff.fr/module/r_dataviz", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_0092" ], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "Preregistration required using: https://abims.sb-roscoff.fr/ateliers/preinscription", "maxParticipants": 18, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/299/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 4, "name": "ABiMS", "url": "https://catalogue.france-bioinformatique.fr/api/team/ABiMS/?format=api" } ], "logo_url": "https://abims.sb-roscoff.fr/sites/default/files/abims.png", "updated_at": "2025-02-21T08:47:18.779528Z", "audienceTypes": [ "Undergraduate", "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 2, "hoursHandsOn": 5, "hoursTotal": 7, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/619/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/716/?format=api" ] } ] }
