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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":"https://fpsom.github.io/2021-06-ml-elixir-fr/","is_draft":false,"costs":["Free"],"topics":[],"keywords":[],"prerequisites":[],"openTo":"Everyone","accessConditions":"","maxParticipants":30,"contacts":["https://catalogue.france-bioinformatique.fr/api/userprofile/556/?format=json"],"elixirPlatforms":[],"communities":[],"sponsoredBy":[],"organisedByOrganisations":[{"id":8,"name":"Elixir","url":"https://catalogue.france-bioinformatique.fr/api/organisation/Elixir/?format=json"},{"id":4,"name":"IFB - ELIXIR-FR","url":"https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=json"}],"organisedByTeams":[{"id":29,"name":"IFB Core","url":"https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=json"}],"logo_url":"https://www.dissco.eu/wp-content/uploads/Elixir-Europe-logo-1.png","updated_at":"2022-06-02T11:50:50.627601Z","type":"Training course","start_date":"2021-06-16","end_date":"2021-06-17","venue":"","city":"","country":"","geographical_range":"International","trainers":[],"trainingMaterials":[],"computingFacilities":[],"realisation_status":"past","registration_opening":null,"registration_closing":null,"registration_status":"unknown","courseMode":"Online"},{"id":760,"name":"EB3I - Ecole de Bioinformatique niveau débutant 2026","shortName":"EB3I N1 2026","description":"Description : La formation EB3I IFB, INSERM et INRAe de niveau 1 propose une expérience d'apprentissage intensive conçue pour les biologistes, qu'ils soient ingénieurs, doctorants, chercheurs, enseignants-chercheurs ou praticiens, qui sont confrontés à l'analyse de données NGS (Next-Generation Sequencing) mais qui ne disposent pas encore des compétences bioinformatiques nécessaires, ou qui cherchent à renforcer leurs compétences existantes.\r\n\r\nContenu : Cette formation est structurée autour d'une combinaison de sessions théoriques et d'ateliers pratiques. Les participants auront l'occasion d'explorer diverses thématiques, notamment le traitement de données de variants, ChIP-Seq, Bulk RNA-Seq, et Single-Cell RNA-Seq. De plus, ils recevront une introduction aux technologies \"long reads\".\r\n\r\nObjectifs généraux:\r\n\r\nAcquérir une compréhension approfondie des concepts liés à l'analyse de données NGS.\r\nMaîtriser les outils informatiques nécessaires pour effectuer ces analyses.\r\nInterpréter les résultats des analyses de données NGS.","homepage":"https://moodle.france-bioinformatique.fr/course/view.php?id=47","is_draft":false,"costs":["Priced"],"topics":[],"keywords":["Biostatistics","Sequence analysis","NGS Sequencing Data Analysis"],"prerequisites":[],"openTo":"Everyone","accessConditions":"La formation s’adresse à des biologistes directement impliqués dans des projets “Next Generation Sequencing” (NGS). \r\nAucune connaissance préalable des environnements Linux ou R n’est requise, mais il sera demandé aux participants de suivre une autoformation en ligne en amont, pour faciliter la prise en main de ces langages. 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Variant annotation (SNPeff / SNPsift).\r\n \r\nThe session will take place in the room ‘salle de formation’ at INRAE center of Toulouse-Auzeville.\r\n\r\nPrerequisites: ability to use a Unix environment (see Unix training) and Cluster (see Cluster training).\r\n \r\nTool box: FastQC, BWA, Samtools, Picard tools, GATK, SnpSift / SnpEff, IGV.","homepage":"https://bioinfo.genotoul.fr/index.php/events/alignment-and-small-size-variants-calling/","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_2885","http://edamontology.org/topic_0102"],"keywords":[],"prerequisites":["Linux/Unix","Cluster"],"openTo":"Everyone","accessConditions":"hort-read alignment and small size variants calling (15/12/2025 - 16/12/2025)\r\nThe GenoToul bioinformatics platform, Sigenae and NED (GenPhySE) organize a series of training courses to familiarize yourself with the various resources it provides. 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