Training List
Handles creating, reading and updating training events.
GET /api/training/?format=api&offset=340&ordering=trainingMaterials
{ "count": 370, "next": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=360&ordering=trainingMaterials", "previous": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=320&ordering=trainingMaterials", "results": [ { "id": 9, "name": "Formation Professionnelles", "shortName": "", "description": "Séminaires et conférences invitées : 6 par an en moyenne\nDIU Oncogénétique\nDESC Cytogénétique\n", "homepage": "http://www.france-bioinformatique.fr", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Bioinformatics & Biomedical" ], "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": 260, "name": "Data analysis", "shortName": "", "description": "Biological data are often complex and challenging to analyse due to non-normal distributions, nonlinear relationships, spatial/temporal structures and high dimensionality. This course will introduce the students to key concepts and statistical tools for the experimental design and analysis of biological data. After a brief refresher on basic elements of statistics, the students will be made familiar with hypothesis testing, univariate statistical tests (e.g. ANOVA), linear models, descriptive multivariate analyses such as Principal Component Analysis (PCA) and clustering. The course will alternate theoretical aspects and computer exercises on small datasets with the R Studio software. The students will be assigned a small project involving the different concepts and tools covered by the course.\n", "homepage": "https://www.enseignement.biologie.ens.fr/spip.php", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [ "Biostatistics", "Statistical Tests", "Regression", "Dimension reduction", "Descriptive statistics", "Multivariate analyses" ], "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/392/?format=api" ] }, { "id": 118, "name": "Formation continue CNRS", "shortName": "", "description": "Phylogénie moléculaire, introduction aux notions d'évolution moléculaire et de phylogénie.\nModèles d'évolution des séquences, méthodes de reconstruction phylogénétiques.\nRecherche de séquences homologues (BLAST), alignement multiples et reconstructions phylogénétiques.\nEvaluation de la pertinence des arbres (bootstrap).\n \n", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Phylogeny" ], "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": 88, "name": "Master ISDD", "shortName": "", "description": "", "homepage": "http://isddteach.sdv.univ-paris-diderot.fr/static/documents/plaquette_isdd_frenc…", "is_draft": false, "costs": [], "topics": [], "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": 130, "name": "Galaxy initiation", "shortName": "", "description": "", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Galaxy" ], "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": 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": 240, "name": "Fouille de données et analyse de données NGS avec R", "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/372/?format=api" ] }, { "id": 223, "name": "Data collection and registration of Research Projects for Orphanet information scientists", "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/353/?format=api" ] }, { "id": 283, "name": "Presentation of IMGT® standards, databases, tools and web resources", "shortName": "IMGT", "description": "Presentation of IMGT® patterns and resources for the study of genes, expressed repertoires and three-dimensional structures of immunoglobulins (antibodies) and T cell receptors.", "homepage": "https://www.imgt.org/", "is_draft": false, "costs": [], "topics": [ "http://edamontology.org/topic_3930", "http://edamontology.org/topic_3948" ], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": null, "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": true, "event_set": [] }, { "id": 231, "name": "Training on GnpIS for BreedWheat data", "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/361/?format=api" ] }, { "id": 217, "name": " Traitement bioinformatique des données RNA-Seq", "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/346/?format=api" ] }, { "id": 383, "name": "Artificial Intelligence and Machine Learning in Life Sciences: from foundations to applications", "shortName": "AI & ML in LS", "description": "Artificial intelligence (AI) has permeated our lives, transforming how we live and work. Over the past few years, a rapid and disruptive acceleration of progress in AI has occurred, driven by significant advances in widespread data availability, computing power and machine learning. Remarkable strides were made in particular in the development of foundation models - AI models trained on extensive volumes of unlabelled data. Moreover, given the large amounts of omics data that are being generated and made accessible to researchers due to the drop in the cost of high-throughput technologies, analysing these complex high-volume data is not trivial, and the use of classical statistics can not explore their full potential. As such, Machine Learning (ML) and Artificial Intelligence (AI) have been recognized as key opportunity areas, as evidenced by a number of ongoing activities and efforts throughout the community.\r\n\r\nHowever, beyond the technological advances, it is equally important that the individual researchers acquire the necessary knowledge and skills to fully take advantage of Machine Learning. Being aware of the challenges, opportunities and constraints that ML applications entail, is a critical aspect in ensuring high quality research in life sciences.\r\n\r\nRecognizing this need, this week-long training will bring together experts from four ELIXIR Nodes and deliver a hands-on, high-intensity course available for members from all ELIXIR Nodes.\r\n\r\nLearners will be guided across the various steps in Machine Learning, from the foundational concepts, through the deep learning and generative AI techniques, closely complemented by insights into the existing reporting (DOME Recommendations) and regulatory frameworks (EU AI Act).", "homepage": "", "is_draft": false, "costs": [], "topics": [ "http://edamontology.org/topic_3474" ], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 30, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "https://www.dissco.eu/wp-content/uploads/Elixir-Europe-logo-1-300x226.png", "updated_at": "2025-01-23T14:14:17.330709Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Intermediate", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/643/?format=api" ] }, { "id": 212, "name": "NGS sous 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/341/?format=api" ] }, { "id": 328, "name": "Workshop nf-core et sarek", "shortName": "", "description": "Dans le cadre du réseau métier ingénieur.e.s lillois, bilille organise un workshop de 2 jours autour de la communauté internationale et des pipelines de bioinformatique nf-core, les 8 et 9 Décembre sur le campus Cité Scientifique de l’Université de Lille, à Villeneuve d’Ascq.\r\n\r\nLe projet nf-core a été créé en 2018 afin de proposer et maintenir de manière collaborative des pipelines d’analyse de bioinformatique en Nextflow selon des standards stricts de qualité et de reproductibilité, tout en facilitant leur mise en œuvre sur la majorité des infrastructures de calcul. La communauté, très active, qui s’organise autour de cette collection de pipelines rassemble des scientifiques du monde entier, issus de parcours très divers.\r\n\r\nÀ l’occasion de cet atelier, nous accueillerons Maxime Garcia (Seqera labs, Stockholm), membre de l’équipe d’administration nf-core et développeur principal du pipeline d’analyse de variants génomique Sarek. Il présentera la communauté aux participant.e.s et les formera à l’utilisation de ces pipelines d’analyse, en alternant les présentations avec des mises en pratique. Il présentera également les outils de développement mis en place par nf-core pour permettre aux participant.e.s de contribuer aux outils existants et de proposer, si elles et ils le souhaitent, leurs propres pipelines selon les standards de la communauté.", "homepage": "https://ums-plbs.univ-lille.fr/workshop-nf-core-et-sarek-avec-maxime-garcia", "is_draft": false, "costs": [ "Free to academics" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Cet atelier s’adressant à un public averti en bioinformatique et/ou en biostatistiques, nous attendons des participant.e.s ayant déjà acquis une certaine familiarité avec les compétences suivantes :\r\n- Utilisation courante de la ligne de commande sous Unix\r\n- Utilisation des logiciels d’analyse de données de séquençage à haut débit\r\n- Utilisation de ressources de calcul intensif (cloud, cluster, …)\r\n- Connaissances de base sur les gestionnaires de workflow (Nextflow, SnakeMake, CWL, Galaxy,…)\r\n\r\nUne familiarité avec Nextflow, Conda et des gestionnaires de containers (Docker/Singularity) sera également utile, sans être toutefois obligatoire.", "maxParticipants": 20, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/757/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 3, "name": "Bilille", "url": "https://catalogue.france-bioinformatique.fr/api/team/Bilille/?format=api" } ], "logo_url": "https://bilille.univ-lille.fr/fileadmin/_processed_/9/2/csm_logo_bilille_complet_65be9bda8b.png", "updated_at": "2024-12-09T17:41:31.307575Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/538/?format=api" ] }, { "id": 263, "name": "« STATIMAGE», Statistiques pour l’imagerie de microscopie", "shortName": "", "description": "\n\n\nL’objectif de cette formation est de donner aux ingénieurs des plates-formes d’imagerie cellulaire et aux personnes qui utilisent ces technologies, des outils statistiques adaptés aux problématiques du domaine. Dans le but de traiter les grandes séries d’images acquises selon les diverses modalités, il est proposé de renforcer la maîtrise des outils statistiques pour une analyse pertinente mais aussi pour une optimisation des acquisitions.\nLa formation se déroulera du lundi midi au mercredi après-midi pour 2 demi-journées de cours (rappel des notions de bases, modélisation, plans d’expériences) et 3 demi-journées de travaux pratiques/dirigés.\n\n\n\n", "homepage": "https://france-bioimaging.org/fr/events/statimage-statistiques-pour-limagerie-de…", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [ "Biostatistics", "Image analysis", "Information retrieval", "Descriptive statistics", "Multivariate analyses" ], "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/395/?format=api" ] }, { "id": 144, "name": "FROGS formation : tools for bioinformatics and statistics analyses with amplicon metagenomics data", "shortName": "", "description": "This training session, organized by Bioinfo Genotoul, Sigenae, NED (GenPhySE) and TWB, is designed to help you to deal with NGS data of 16S, 18S ... DNA produced with MiSeq from Illumina and Roche 454 technologies in the Galaxy workbench.\nYou will discover how to use our Galaxy instance, clean reads, clusterize them, do the taxonomic affiliation and perform statistics to interpret your results.\nPrerequisites: knowledge of R or in another programming language\n", "homepage": "http://bioinfo.genotoul.fr/index.php/events/metagenomic-amplicons-and-stats-with…", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "NGS Data Analysis", "Metagenomics", "metatranscriptomics", "Galaxy" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Subscribe by the web page : http://bioinfo.genotoul.fr/index.php/training-2/galaxy-training/.\nPrices : 165 euros per day for academic people, 550 per day otherwise.\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/FROGS_logo_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/273/?format=api" ] }, { "id": 7, "name": "InSilicoDb Analysis Training", "shortName": "", "description": "Interrogating public and private gene expression datasets for bio-medical researchers. This workshop will you teach about two subjects: 1- Genomics data management for the lab (efficiently store and make accessible microarray and NGS data), 2- Interrogation of your expression data and comparison and combination of your data with public data.\n", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Bioinformatics & Biomedical" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Aucune\n", "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": 251, "name": "Survival Guide for Perl applied to Bioinformatics", "shortName": "", "description": " \n\n\t\t\tThis course provides an introduction to programming using Perl and at the end of the training, participants could write simple Perl programs to handle biological data and to undertstand more complex Perl programs written by others.\n\t\t\t\nPrerequisites\nBasic knowledge of Linux (Linux for dummies required)\n\nProgram\nPerl data structures (scalar,arrays, hashes)\nStructure control ( loops)\nBasic functions, and operators.\nWriting and running your own program\nPassing options and files to his own script.\nRegular expressions\n\n\nLearning objectives\nWriting simple Perl programs to analyze data files\nUnderstanding Perl programs written by others\nUsing Perl basic syntax and modules in their own script\nRun programs from their script, parsing and extracting data from data files\n\n\nInstructors\n\n\nChristine Tranchant - christine.tranchant@ird.fr\nFrançois Sabot - francois.sabot@ird.fr\nNdomassi tando - ndomassi.tando@ird.fr\n\n", "homepage": "https://southgreenplatform.github.io/trainings//perl/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 12, "name": "LAPSE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/LAPSE/?format=api" }, { "id": 13, "name": "Formation permanente IRD", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Formation%20permanente%20IRD/?format=api" } ], "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/383/?format=api" ] }, { "id": 106, "name": "Infrastructure informatique distribuée de France Grilles: Grilles et Cloud", "shortName": "", "description": "", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Programming Languages & Computer Sciences" ], "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": 120, "name": "DUT Bioinformatique", "shortName": "", "description": "A la convergence de la biologie, de l’informatique, cette formation pluridisciplinaire vise à former des techniciens supérieurs possédant une double compétence biologie/informatique capables de produire et de traiter des données biologiques de masse. La formation assurée en 2 ans vise à donner un socle solide de compétences transversales en biologie (génomique, transcriptomique, protéomique…), informatique (programmation, algorithmie, bioinformatiques structurale et intégrative ...) et statistiques, complétée par un travail en groupe ainsi qu’un stage de fin d’année en milieu professionnel. Axée sur les technologies « omiques », cette option propose une professionnalisation rapide pour un domaine en pleine croissance et donne des compétences solides pour continuer vers un master ou un doctorat.\n \n", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [ "Autre (Diplôme universitaire, école d'ingénieur ...)" ], "openTo": "Internal personnel", "accessConditions": "Accessible en formation continue pour des bacheliers des séries S, STL et en formation continue. Accessible directement en 2ème année pour des étudiants ayant validé une année dans le supérieur et ayant des compétences en biologie et des bases en programmation\n \n", "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": [] } ] }
