Training List
Handles creating, reading and updating training events.
GET /api/training/?format=api&offset=300&ordering=-accessConditions
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Machine learning (ML) is a discipline in which computers perform automated learning without being programmed explicitly and assist humans to make sense of large and complex data sets. The analysis of complex high-volume data is not trivial and classical tools cannot be used to explore their full potential. Machine learning can thus be very useful in mining large omics datasets to uncover new insights that can advance the field of bioinformatics.\r\n\r\nThis 2-day course will introduce participants to the machine learning taxonomy and the applications of common machine learning algorithms to omics data. The course will cover the common methods being used to analyse different omics data sets by providing a practical context through the use of basic but widely used R libraries. The course will comprise a number of hands-on exercises and challenges where the participants will acquire a first understanding of the standard ML processes, as well as the practical skills in applying them on familiar problems and publicly available real-world data sets.", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 30, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 8, "name": "Elixir", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Elixir/?format=api" }, { "id": 4, "name": "IFB - ELIXIR-FR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api" } ], "organisedByTeams": [ { "id": 29, "name": "IFB Core", "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api" } ], "logo_url": "https://www.dissco.eu/wp-content/uploads/Elixir-Europe-logo-1.png", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/415/?format=api" ] }, { "id": 119, "name": "Modules Biologie École Doctorale SVSAE", "shortName": "", "description": "Les UE de bioinformatique de la spécialité AMD sont ouvertes aux doctorants de l'école doctorale SVSAE dans le cadre de leur formation doctorale. 3 UE sont particulièrement suivies : UE « Programmation en perl », UE « Bioistatistiques et programmation sous R » et UE « Génomique et bioinformatique ». Les formations continues proposées dans le domaine de la bioinformatique sont également ouvertes aux étudiants de l'Ecole Doctorale, et permettent de valider un module de biologie. Forme 2 à 3 doctorants par an.\n \n", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [ "Autre (Diplôme universitaire, école d'ingénieur ...)" ], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] }, { "id": 247, "name": "Manual curation of Transposable element annotation", "shortName": "", "description": "URGI organizes a BYOD-style (Bring Your Own Data) training course on manual curation of transposable elements reference sequences obtained with REPET pipelines.\n", "homepage": "https://urgi.versailles.inra.fr/Platform/Training/Manual-curation-of-Transposabl…", "is_draft": false, "costs": [ "Priced" ], "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/Capture%20d%E2%80%99e%CC%81cran%202018-12-05%20a%CC%80%2009.40.29_0.png", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/379/?format=api" ] }, { "id": 248, "name": "RNaseq with Galaxy ", "shortName": "", "description": "", "homepage": "", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/380/?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", "https://catalogue.france-bioinformatique.fr/api/event/782/?format=api" ] }, { "id": 358, "name": "Traitement bioinformatique et analyse différentielle de données d’expression RNA-seq sous Galaxy", "shortName": "Analyse données RNA-seq sous Galaxy", "description": "Objectifs pédagogiques\r\nA l’issue de cette formation, vous serez capable, dans le cadre d’une analyse de données RNA- seq avec génome de référence et plan d’expérience simple :\r\n* de connaître le vocabulaire et les concepts bioinformatiques et biostatistiques ;\r\n* de savoir enchaîner de façon pertinente un ensemble d’outils bioinformatiques et biostatistiques dans l’environnement Galaxy ;\r\n* de comprendre le matériel et méthodes d’un article du domaine ;\r\n* d’évaluer la pertinence d’une analyse RNA-seq en identifiant les éléments clefs et comprendre les particularités liées à la nature des données.\r\n\r\nProgramme\r\nBioinformatique :\r\n* Obtenir des données de qualité : nettoyage, filtrage, qualité\r\n* Aligner les lectures sur un génome de référence\r\n* Détecter de nouveaux transcrits\r\n* Quantifier l’expression des gènes\r\n* Préparer et déployer unensemble d’analyses sur plusieurs échantillons\r\n\r\nBiostatistique :\r\n* Construire un plan d’expérience simple\r\n* Normaliser les données de comptage\r\n* Identifier les gènes différentiellements exprimés\r\n* Se sensibiliser aux tests multiples\r\n\r\nAnalyse de protocoles Bioinformatique et Biostatistiques issus de la littérature", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0203", "http://edamontology.org/topic_3170", "http://edamontology.org/topic_3308", "http://edamontology.org/topic_0102" ], "keywords": [ "Gene expression differential analysis", "RNA-seq", "Transcriptomics" ], "prerequisites": [ "Galaxy - Basic usage" ], "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": "2025-01-23T15:20:05.977558Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "A l’issue de cette formation, vous serez capable, dans le cadre d’une analyse de données RNA- seq avec génome de référence et plan d’expérience simple :\r\n\r\n* de connaître le vocabulaire et les concepts bioinformatiques et biostatistiques ;\r\n* de savoir enchaîner de façon pertinente un ensemble d’outils bioinformatiques et biostatistiques dans l’environnement Galaxy ;\r\n* de comprendre le matériel et méthodes d’un article du domaine ;\r\n* d’évaluer la pertinence d’une analyse RNA-seq en identifiant les éléments clefs et comprendre les particularités liées à la nature des données.", "hoursPresentations": 6, "hoursHandsOn": 12, "hoursTotal": 18, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/583/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/779/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/690/?format=api" ] }, { "id": 194, "name": "NGS et Cancer (Canceropôle) : Analyse DNASeq", "shortName": "", "description": "", "homepage": "", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/321/?format=api" ] }, { "id": 195, "name": "NGS et Cancer (Canceropôle) : Analyse A-RNASeq", "shortName": "", "description": "", "homepage": "", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/322/?format=api" ] }, { "id": 291, "name": "Formation au logiciel R", "shortName": "Formation au logiciel R", "description": "Introduction au logiciel R et à son utilisation pour réaliser des graphiques et faire des analyses statistiques basiques en biologie. Introduction aux bibliothèques R utiles en biologie.", "homepage": "http://www.prabi.fr/spip.php?article273", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 14, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 19, "name": "PRABI-AMSB", "url": "https://catalogue.france-bioinformatique.fr/api/team/PRABI-AMSB/?format=api" } ], "logo_url": null, "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [ "Professional (initial)" ], "audienceRoles": [ "Life scientists" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "- Acquérir les compétences nécessaires à l’utilisation du logiciel R\r\n- Connaître les principales analyses statistiques nécessaires en biologie et les utiliser sous R\r\n- Réaliser des graphiques sous R\r\n- Connaitre les bibliothèques R utiles en Biologie", "hoursPresentations": 9, "hoursHandsOn": 12, "hoursTotal": 21, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/437/?format=api" ] }, { "id": 300, "name": "Analyse des données RNA-Seq sous l’environnement Galaxy", "shortName": "Analyse des données RNA-Seq sous l’environnement Galaxy", "description": "Introduction à l'analyse des données RNA-Seq sous l’environnement Galaxy", "homepage": "http://www.prabi.fr/spip.php?article274", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 14, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 9, "name": "PRABI", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/PRABI/?format=api" } ], "organisedByTeams": [ { "id": 19, "name": "PRABI-AMSB", "url": 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"keywords": [], "prerequisites": [ "Master" ], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] }, { "id": 13, "name": "Formation interne pipeline DEVA detection de variants par NGS", "shortName": "", "description": "", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [ "NGS Data Analysis" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] }, { "id": 209, "name": "Initiation à Python", "shortName": "", "description": "", "homepage": "", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/338/?format=api" ] }, { "id": 359, "name": "Comparaison de génomes microbiens", "shortName": "Comparaison de génomes microbiens", "description": "Objectifs pédagogiques\r\nConnaître les concepts et les principales méthodes bioinformatiques pour comparer un jeu de données de génomes microbiens. Construire et évaluer la qualité d’un jeu de données. Savoir mettre en œuvre une comparaison de génomes et en interpréter les résultats.\r\n\r\nProgramme\r\n* Construction d’un jeu de données :\r\n* Téléchargement de données publiques\r\n* Evaluation de la qualité\r\n* Caractérisation de la diversité génomique\r\n* Stratégies de comparaison :\r\n* Construction de famille de protéines\r\n* Alignement de génomes complets\r\n* Analyse des résultats :\r\n o Notion de core et pan-génome\r\n o Notions élémentaires de phylogénomique\r\n o Visualisation et interprétation des résultats\r\n* Mise en pratique sur un jeu de données bactériens, utilisation des logiciels dRep et Roary sous Galaxy.", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_3299", "http://edamontology.org/topic_0622" ], "keywords": [ "Comparative genomics" ], "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": "2024-01-18T14:13:49.810934Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Biologists", "Bioinformaticians" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "Connaître les concepts et les principales méthodes bioinformatiques pour comparer un jeu de données de génomes microbiens. \r\nConstruire et évaluer la qualité d’un jeu de données. \r\nSavoir mettre en œuvre une comparaison de génomes et en interpréter les résultats.", "hoursPresentations": 3, "hoursHandsOn": 3, "hoursTotal": 6, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/584/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/696/?format=api" ] }, { "id": 376, "name": "Train-the-Trainer", "shortName": "TtT", "description": "The programme objective is to give instructors tools and tips for providing an enriching learning experience to trainees, irrespective of topic, and to include best-practice guidance on course and training material development.", "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=25", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/762/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/556/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/639/?format=api" ], "elixirPlatforms": [ { "id": 1, "name": "Training", "url": "https://catalogue.france-bioinformatique.fr/api/elixirplatform/Training/?format=api" } ], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 4, "name": "IFB - ELIXIR-FR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api" } ], "organisedByTeams": [ { "id": 29, "name": "IFB Core", "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api" } ], "logo_url": "https://moodle.france-bioinformatique.fr/pluginfile.php/961/course/section/152/logo_TtT_MRS_def.png", "updated_at": "2024-03-21T15:33:43.289130Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "By the end of Session 1, participants will be able to:\r\n\r\nList the steps of good instructional design.\r\nDefine cognitive load.\r\nDistinguish between bad and good cognitive load.\r\nClarify why we start with learning outcomes.\r\nGive examples of effective learning strategies.\r\nConnect learning strategies to the cognitive processes they promote.\r\nSelect appropriate learning outcomes within the learning constraints.\r\nAssess your teaching outlook/practices in relation to what you’ve learned.\r\nDesign learning experiences that align with learning outcomes.\r\n\r\n\r\nBy the end of Session 2, participants will be able to:\r\n\r\nDesign a mini-training:\r\nWrite SMART Learning Outcomes \r\nIdentify target audience\r\nDraw a concept map\r\nSelect content\r\nDeliver \r\nProvide and receive targeted feedback\r\nCreate a plan from lesson to session\r\nCreate a plan from session to full course\r\n\r\n\r\nBy the end of Session 3, participants will be able to:\r\n\r\nDescribe what makes training effective.\r\nDescribe what makes a trainer effective.\r\nIdentify strategies that facilitate active, interactive, and collaborative learning.\r\nList factors of motivation and demotivation.\r\nEvaluate what instructors can do to motivate and avoid demotivating learners.\r\n\r\n\r\nBy the end of Session 4, participants will be able to\r\n\r\nDescribe the differences between formative and summative assessment\r\nExplain why frequent feedback is important\r\nList and describe a few techniques for formative feedback", "hoursPresentations": 12, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/607/?format=api" ] }, { "id": 15, "name": "IFSBM", "shortName": "", "description": "\nUFR médecine Paris-Sud (mai 2015). Big data en médecine. Acquisition et analyse des données de haut débit dans le but de détecter des variants génomiques (CGH, exome, génome), étudier les profils d’expression ou le statut épigénétique des cellules (expression array, RNA-seq, ChiP-seq, medip-seq).\n \nUFR médecine Paris-Sud (janvier 2015) Méthodologie en biologie moléculaire et cellulaire et analyse d’article\n\n", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [ "Autre (Diplôme universitaire, école d'ingénieur ...)" ], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] }, { "id": 39, "name": "Introduction to bioinformatics for 1st year Master in integrative Plant Biology, Strasbourg University", "shortName": "", "description": "2H / year of hands-on introduction to bioinformatics for 1st year Master in integrative Plant Biology, Strasbourg University\n", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [ "Master (M1 uniquement)" ], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] } ] }
