{"count":393,"next":"https://catalogue.france-bioinformatique.fr/api/training/?format=json&limit=20&offset=180&ordering=-costs","previous":"https://catalogue.france-bioinformatique.fr/api/training/?format=json&limit=20&offset=140&ordering=-costs","results":[{"id":140,"name":"Bioinformatique et Analyses Mutationnelles","shortName":"","description":"Module de formation à la bioinformatique appliquée à l'analyse des données génétiques dans le cadre des maladies génétiques humaines. Cet enseignement fait partie du Master 2 de Pathologie Humaine dispensé à la faculté de Médecine de la Timone à Marseille.\n \n","homepage":"http://formations.univ-amu.fr/ME5APH-ENAPHCU41.html","is_draft":false,"costs":[],"topics":[],"keywords":["NGS Data Analysis","Bioinformatics & Biomedical","Sequence analysis","NGS Sequencing Data Analysis"],"prerequisites":["Master (M2 uniquement)"],"openTo":"Internal personnel","accessConditions":"Inscription au Master 2 de Pathologie Humaine\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":["https://catalogue.france-bioinformatique.fr/api/event/269/?format=json"]},{"id":56,"name":"M2 « BioStatistique, BioInformatique, BioMathématique en Santé (B3S) » ","shortName":"","description":"DU master de Santé Publique (responsables Pr Pascal Roy, Dr Delphine Maucort-­‐Boulch)\n","homepage":"http://www.france-bioinformatique.fr","is_draft":false,"costs":[],"topics":[],"keywords":[],"prerequisites":["Master (M2 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":[]},{"id":378,"name":"Les langages de workflows pour une analyse bioinformatique reproductible / Workflow languages for reproducible bioinformatics analysis","shortName":"WF4bioinfo","description":"L’Institut Français de Bioinformatique (IFB) organise en partenariat avec iPOP-UP (représenté par EDC) une formation sur les langages de workflows en bioinformatique à destination des bioinformaticien·ne·s et des bioanalystes. La formation abordera les fondamentaux et les fonctionnalités avancées des deux langages Snakemake et Nextflow. Ces outils sont en effet devenus indispensables pour assurer la reproductibilité et l’efficacité des analyses bioinformatiques. La formation sera structurée en deux séquences :\r\n- une journée commune qui abordera les grands principes des gestionnaires de workflow, en particulier dans le domaine de la bioinformatique et en lien avec les infrastructures de calcul de type cluster et cloud proposés au sein de l’IFB \r\n- une  journée de session pratique  avec 1 atelier snakemake et 1 atelier nextflow en parallèle au choix des participants. Nous proposons aux participants qui le souhaitent de travailler sur leur propre workflow dans une approche “Bring your own script” avec l’aide de l’équipe pédagogique.","homepage":"https://moodle.france-bioinformatique.fr/course/view.php?id=29","is_draft":false,"costs":[],"topics":["http://edamontology.org/topic_0769","http://edamontology.org/topic_0091"],"keywords":["FAIR","Reproducibility","Nextflow","Snakemake"],"prerequisites":["Linux - Basic Knowledge"],"openTo":"Everyone","accessConditions":"","maxParticipants":20,"contacts":["https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=json","https://catalogue.france-bioinformatique.fr/api/userprofile/326/?format=json","https://catalogue.france-bioinformatique.fr/api/userprofile/804/?format=json"],"elixirPlatforms":[],"communities":[],"sponsoredBy":[],"organisedByOrganisations":[{"id":4,"name":"IFB - ELIXIR-FR","url":"https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=json"}],"organisedByTeams":[{"id":38,"name":"PB-IBENS","url":"https://catalogue.france-bioinformatique.fr/api/team/PB-IBENS/?format=json"}],"logo_url":"https://moodle.france-bioinformatique.fr/pluginfile.php/1/core_admin/logocompact/300x300/1654772049/IFB-HAUT-COULEUR-PETIT.png","updated_at":"2024-03-26T16:42:31.487108Z","audienceTypes":[],"audienceRoles":[],"difficultyLevel":"Intermediate","trainingMaterials":[],"learningOutcomes":"","hoursPresentations":null,"hoursHandsOn":null,"hoursTotal":null,"personalised":null,"event_set":["https://catalogue.france-bioinformatique.fr/api/event/613/?format=json","https://catalogue.france-bioinformatique.fr/api/event/664/?format=json"]},{"id":413,"name":"Galaxy Beyond Basics: Mastering Workflows, Automation, and Scalability","shortName":"Galaxy avancée","description":"Join us for an intensive, week-long, in-person training designed to elevate your Galaxy expertise to new heights. This workshop is tailored for data scientists, advanced Galaxy users, and team leaders who need to scale, automate, and publish their data analysis workflows for batch processing and production-level applications.\r\n\r\nOver five days, you’ll embark on a comprehensive journey through Galaxy’s advanced capabilities:\r\n\r\nMonday: Introduction & Workflow Development\r\n\r\nStart with a welcome and icebreaker to foster collaboration, followed by a brief overview of Galaxy and its workflow features. Dive into hands-on workflow development, where you’ll learn to design clean, efficient workflows, customize them with parameters, and generate user-friendly workflow reports—combining theory with practical application.\r\n\r\nTuesday: Workflow FAIRification, Documentation, and Export\r\n\r\nBegin with a recap of Day 1, then explore UseGalaxy.fr and its unique features. Learn to annotate workflows with metadata, apply best practices for FAIR compliance, and implement tests to ensure reliability. Publish your workflows to WorkflowHub and Dockstore via the IWC. Develop high-resolution workflow visualizations and create interactive tutorials using a “Choose Your Own Tutorial” approach. Finally, master workflow export by creating RO-Crates for reproducibility and submitting workflows to LifeMonitor for performance tracking.\r\n\r\nWednesday: Scaling Workflows & Galaxy Using Command-Line and API\r\n\r\nStart with a recap and real-world examples of large-scale Galaxy projects. Learn to execute workflows from the command line using Planemo, automate batch processing with shell scripts, and analyze performance for efficiency. Discover how to scale Galaxy use with BioBlend, designing Python scripts for batch workflow execution and evaluating scalability. The day concludes with an introduction to the “Bring Your Own Work” session.\r\n\r\nThursday: Bring Your Own Work (BYOW)\r\n\r\nDedicate the day to applying your new skills to your own projects. With guidance from trainers, refine your workflows, troubleshoot challenges, and implement solutions using your personal data. Collaborate with peers, document your progress, and optimize your workflows to leave with actionable results for your research.\r\n\r\nFriday: Storage, Data Management, Recap, and Closing\r\n\r\nThe final half-day begins with a recap of the week’s progress, followed by a session on “Bring Your Own Storage”, exploring how to integrate personal or institutional storage with Galaxy. Learn about managing databases in Galaxy and the IDC (Intergalactic Data Commission) effort for efficient data organization. The workshop concludes with a general recap, supplementary exercises, and feedback and closing remarks, ensuring you leave with a comprehensive understanding and resources for continued success.\r\n\r\nThis training will be conducted in French, while the materials (slides) will be in English.\r\n\r\nLearning Objectives\r\nAt the end of the workshop, you will be able to:\r\n\r\nWorkflow development\r\n    Understand the key aspects of workflows by identifying their core components and purpose.\r\n    Create clean, non-repetitive workflows by applying best practices for process design.\r\n    Use workflow parameters to customize and optimize workflows for specific tasks.\r\n    Generate user-friendly workflow reports to display workflow results in a structured way.\r\nWorkflow FAIRyfication\r\n    Annotate a Galaxy workflow with essential metadata to ensure it is findable and reusable.\r\n    Apply best practices to data analysis workflows to improve consistency and interoperability.\r\n    Implement robust tests to validate workflow reliability and accuracy.\r\n    Publish a Galaxy workflow on WorkflowHub and Dockstore via its integration into the IWC, demonstrating enhanced findability,accessibility, interroperability and usability for the scientific community.\r\nWorkflow Documentation\r\n    Design a high-resolution workflow image optimized for documentation and presentations.\r\n    Develop a hands-on tutorial with a “Choose Your Own Tutorial” approach, including:\r\n        A step-by-step tutorial with skeleton generation from the workflow.\r\n        A real-time tutorial that runs and explains the workflow interactively.\r\n    Produce a final documentation package that includes both tutorial formats and high-resolution visuals.\r\nWorkflow Export\r\n    Apply the process of creating a Galaxy Workflow Run RO-Crate by packaging a workflow with its metadata, inputs, and outputs, ensuring it is reproducible and FAIR-compliant.\r\n    Evaluate the completeness and accuracy of a Galaxy Workflow Run RO-Crate by reviewing its structure, metadata, and included files for adherence to best practices.\r\n    Submit a workflow to LifeMonitor, analyzing the platform’s feedback to assess workflow performance and improve its reliability for future use.\r\nWorkflow Scaling using command-line\r\nExecute workflows from the command line using the Planemo run subcommand, demonstrating the ability to run and monitor workflows outside the Galaxy interface.\r\nDevelop simple shell scripts to automate the execution of multiple workflows concurrently or sequentially, optimizing efficiency and scalability.\r\nAnalyze the performance and resource usage of workflows run via shell scripts, evaluating the effectiveness of scaling strategies for large-scale data processing.\r\nScaling Galaxy Use with the API and BioBlend\r\nUtilize the BioBlend library to programmatically interact with Galaxy, executing workflows, managing datasets, and automating repetitive tasks.\r\nDesign a Python script using BioBlend to scale Galaxy workflows for batch processing, ensuring efficient resource use and reproducibility.\r\nEvaluate the performance and scalability of workflows executed via BioBlend, comparing results with manual Galaxy interactions to identify improvements.\r\n“Bring Your Own Work”\r\nApply the concepts and tools learned during the training to develop or refine your own workflows using your personal data, with guidance from trainers.\r\nTroubleshoot challenges in your workflow or data analysis, implementing solutions with the support of trainers and peers.\r\nDemonstrate progress in your project by documenting your workflow, results, and any optimizations made during the sessions.\r\n\r\nRequirements\r\nPrior knowledge and experience using Galaxy\r\nPrior knowledge and experience using command line\r\nFluent in French (materials will be in English and discussions will happen in French)\r\nYour own computer\r\nOptional but encouraged: your own workflow and dataset for the Bring Your Own Work (BYOW) session. The workflow and the dataset must be shareable and non-sensitive (i.e., they must not contain any patient-related information or confidential data). The dataset size must be small.","homepage":"https://training.galaxyproject.org/training-material/events/2026-10-12-Advanced-Galaxy-Training.html#overview","is_draft":false,"costs":["700 euros HT"],"topics":["http://edamontology.org/topic_3316","http://edamontology.org/topic_0769","http://edamontology.org/topic_0091"],"keywords":["Reproducibility","Galaxy","Workflow 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workflows to improve consistency and interoperability.\r\nImplement robust tests to validate workflow reliability and accuracy.\r\nPublish a Galaxy workflow on WorkflowHub and Dockstore via its integration into the IWC, demonstrating enhanced findability, accessibility, interroperability and usability for the scientific community.\r\nWorkflow Documentation\r\nDesign a high-resolution workflow image optimized for documentation and presentations.\r\nDevelop a hands-on tutorial with a “Choose Your Own Tutorial” approach, including:\r\nA step-by-step tutorial with skeleton generation from the workflow.\r\nA real-time tutorial that runs and explains the workflow interactively.\r\nProduce a final documentation package that includes both tutorial formats and high-resolution visuals.\r\nWorkflow Export\r\nApply the process of creating a Galaxy Workflow Run RO-Crate by packaging a workflow with its metadata, inputs, and outputs, ensuring it is reproducible and FAIR-compliant.\r\nEvaluate the completeness and accuracy of a Galaxy Workflow Run RO-Crate by reviewing its structure, metadata, and included files for adherence to best practices.\r\nSubmit a workflow to LifeMonitor, analyzing the platform’s feedback to assess workflow performance and improve its reliability for future use.\r\nWorkflow Scaling using command-line\r\nExecute workflows from the command line using the Planemo run subcommand, demonstrating the ability to run and monitor workflows outside the Galaxy interface.\r\nDevelop simple shell scripts to automate the execution of multiple workflows concurrently or sequentially, optimizing efficiency and scalability.\r\nAnalyze the performance and resource usage of workflows run via shell scripts, evaluating the effectiveness of scaling strategies for large-scale data processing.\r\nScaling Galaxy Use with the API and BioBlend\r\nUtilize the BioBlend library to programmatically interact with Galaxy, executing workflows, managing datasets, and automating repetitive tasks.\r\nDesign a Python script using BioBlend to scale Galaxy workflows for batch processing, ensuring efficient resource use and reproducibility.\r\nEvaluate the performance and scalability of workflows executed via BioBlend, comparing results with manual Galaxy interactions to identify improvements.\r\n“Bring Your Own Work”\r\nApply the concepts and tools learned during the training to develop or refine your own workflows using your personal data, with guidance from trainers.\r\nTroubleshoot challenges in your workflow or data analysis, implementing solutions with the support of trainers and peers.\r\nDemonstrate progress in your project by documenting your workflow, results, and any optimizations made during the sessions.","hoursPresentations":null,"hoursHandsOn":null,"hoursTotal":null,"personalised":true,"event_set":["https://catalogue.france-bioinformatique.fr/api/event/802/?format=json","https://catalogue.france-bioinformatique.fr/api/event/803/?format=json"]},{"id":412,"name":"Construction and analysis of eukaryotic pangenome graphs","shortName":"","description":"This training session is organized by the Genotoul-Bioinfo platform. This 2 days long course is dedicated to the construction and the analysis of eukaryotic pangenome graphs.\r\n\r\nWe will first present the concept of graph-based pangenome, then build one. We will then apply several tools for its analysis: use annotation, call variants, extract sub-graphs, visualize the graph, map reads, genotype individuals, and perform a GWAS on the graph. The different formats will also be presented.\r\n\r\nBy the end of the course, trainees will be familiar with the topic, and able to run the major tools made to build an exploit a pangenome graph.","homepage":"https://bioinfo.genotoul.fr/index.php/events/pangenome/","is_draft":false,"costs":["Non-academic for non-academic: 1100€ + 20% taxes (TVA)","INRAE for INRAE's staff: 300 € no VAT charged","Academic non-INRAE for academic but non-INRAE: 340 € + 20% taxes (TVA)"],"topics":["http://edamontology.org/topic_3796","http://edamontology.org/topic_0625"],"keywords":["Pangenomic"],"prerequisites":["Linux/Unix","Cluster"],"openTo":"Everyone","accessConditions":"","maxParticipants":12,"contacts":["https://catalogue.france-bioinformatique.fr/api/userprofile/642/?format=json"],"elixirPlatforms":[],"communities":[],"sponsoredBy":[],"organisedByOrganisations":[{"id":82,"name":"INRAE","url":"https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=json"},{"id":88,"name":"BioinfOmics","url":"https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=json"},{"id":37,"name":"MIAT - Mathématiques et Informatique Appliquées de Toulouse","url":"https://catalogue.france-bioinformatique.fr/api/organisation/MIAT%20-%20Math%C3%A9matiques%20et%20Informatique%20Appliqu%C3%A9es%20de%20Toulouse/?format=json"}],"organisedByTeams":[{"id":22,"name":"Genotoul-bioinfo","url":"https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=json"}],"logo_url":"https://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png","updated_at":"2026-04-20T08:06:46.497837Z","audienceTypes":["Professional (continued)"],"audienceRoles":["Life scientists","Biologists","Bioinformaticians"],"difficultyLevel":"Intermediate","trainingMaterials":[],"learningOutcomes":"","hoursPresentations":3,"hoursHandsOn":15,"hoursTotal":18,"personalised":null,"event_set":["https://catalogue.france-bioinformatique.fr/api/event/799/?format=json"]},{"id":412,"name":"Construction and analysis of eukaryotic pangenome graphs","shortName":"","description":"This training session is organized by the Genotoul-Bioinfo platform. This 2 days long course is dedicated to the construction and the analysis of eukaryotic pangenome graphs.\r\n\r\nWe will first present the concept of graph-based pangenome, then build one. We will then apply several tools for its analysis: use annotation, call variants, extract sub-graphs, visualize the graph, map reads, genotype individuals, and perform a GWAS on the graph. The different formats will also be presented.\r\n\r\nBy the end of the course, trainees will be familiar with the topic, and able to run the major tools made to build an exploit a pangenome graph.","homepage":"https://bioinfo.genotoul.fr/index.php/events/pangenome/","is_draft":false,"costs":["Non-academic for non-academic: 1100€ + 20% taxes (TVA)","INRAE for INRAE's staff: 300 € no VAT charged","Academic non-INRAE for academic but non-INRAE: 340 € + 20% taxes (TVA)"],"topics":["http://edamontology.org/topic_3796","http://edamontology.org/topic_0625"],"keywords":["Pangenomic"],"prerequisites":["Linux/Unix","Cluster"],"openTo":"Everyone","accessConditions":"","maxParticipants":12,"contacts":["https://catalogue.france-bioinformatique.fr/api/userprofile/642/?format=json"],"elixirPlatforms":[],"communities":[],"sponsoredBy":[],"organisedByOrganisations":[{"id":82,"name":"INRAE","url":"https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=json"},{"id":88,"name":"BioinfOmics","url":"https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=json"},{"id":37,"name":"MIAT - Mathématiques et Informatique Appliquées de Toulouse","url":"https://catalogue.france-bioinformatique.fr/api/organisation/MIAT%20-%20Math%C3%A9matiques%20et%20Informatique%20Appliqu%C3%A9es%20de%20Toulouse/?format=json"}],"organisedByTeams":[{"id":22,"name":"Genotoul-bioinfo","url":"https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=json"}],"logo_url":"https://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png","updated_at":"2026-04-20T08:06:46.497837Z","audienceTypes":["Professional (continued)"],"audienceRoles":["Life scientists","Biologists","Bioinformaticians"],"difficultyLevel":"Intermediate","trainingMaterials":[],"learningOutcomes":"","hoursPresentations":3,"hoursHandsOn":15,"hoursTotal":18,"personalised":null,"event_set":["https://catalogue.france-bioinformatique.fr/api/event/799/?format=json"]},{"id":412,"name":"Construction and analysis of eukaryotic pangenome graphs","shortName":"","description":"This training session is organized by the Genotoul-Bioinfo platform. This 2 days long course is dedicated to the construction and the analysis of eukaryotic pangenome graphs.\r\n\r\nWe will first present the concept of graph-based pangenome, then build one. We will then apply several tools for its analysis: use annotation, call variants, extract sub-graphs, visualize the graph, map reads, genotype individuals, and perform a GWAS on the graph. The different formats will also be presented.\r\n\r\nBy the end of the course, trainees will be familiar with the topic, and able to run the major tools made to build an exploit a pangenome graph.","homepage":"https://bioinfo.genotoul.fr/index.php/events/pangenome/","is_draft":false,"costs":["Non-academic for non-academic: 1100€ + 20% taxes (TVA)","INRAE for INRAE's staff: 300 € no VAT charged","Academic non-INRAE for academic but non-INRAE: 340 € + 20% taxes (TVA)"],"topics":["http://edamontology.org/topic_3796","http://edamontology.org/topic_0625"],"keywords":["Pangenomic"],"prerequisites":["Linux/Unix","Cluster"],"openTo":"Everyone","accessConditions":"","maxParticipants":12,"contacts":["https://catalogue.france-bioinformatique.fr/api/userprofile/642/?format=json"],"elixirPlatforms":[],"communities":[],"sponsoredBy":[],"organisedByOrganisations":[{"id":82,"name":"INRAE","url":"https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=json"},{"id":88,"name":"BioinfOmics","url":"https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=json"},{"id":37,"name":"MIAT - Mathématiques et Informatique Appliquées de Toulouse","url":"https://catalogue.france-bioinformatique.fr/api/organisation/MIAT%20-%20Math%C3%A9matiques%20et%20Informatique%20Appliqu%C3%A9es%20de%20Toulouse/?format=json"}],"organisedByTeams":[{"id":22,"name":"Genotoul-bioinfo","url":"https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=json"}],"logo_url":"https://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png","updated_at":"2026-04-20T08:06:46.497837Z","audienceTypes":["Professional (continued)"],"audienceRoles":["Life scientists","Biologists","Bioinformaticians"],"difficultyLevel":"Intermediate","trainingMaterials":[],"learningOutcomes":"","hoursPresentations":3,"hoursHandsOn":15,"hoursTotal":18,"personalised":null,"event_set":["https://catalogue.france-bioinformatique.fr/api/event/799/?format=json"]},{"id":388,"name":"Analysis of shotgun metagenomic data","shortName":"","description":"This training session is organized by the Genotoul bioinfo platform. 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We will introduce the main characteristics of Perl and discuss why it is particularly suited for biologists who want to manipulate files and generate command lines.\r\nPerl on the command line: we will show how to use Perl on the command line to perform common tasks, such as searching and replacing strings, merging files, and loop over lists of files.\r\nConcrete examples: we will present several concrete examples drawn from biology, such as extracting information from genomic sequence files, converting files between different formats, and generating command lines for data biology tools.\r\n \r\nThe session will take place in the room ‘salle de formation MIAT’ at INRAE center of Toulouse-Auzeville.","homepage":"https://bioinfo.genotoul.fr/index.php/events/onelineperl/","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":[],"keywords":["Perl Langage"],"prerequisites":["Linux/Unix","Cluster"],"openTo":"Everyone","accessConditions":"","maxParticipants":12,"contacts":[],"elixirPlatforms":[],"communities":[],"sponsoredBy":[],"organisedByOrganisations":[{"id":37,"name":"MIAT - Mathématiques et Informatique Appliquées de Toulouse","url":"https://catalogue.france-bioinformatique.fr/api/organisation/MIAT%20-%20Math%C3%A9matiques%20et%20Informatique%20Appliqu%C3%A9es%20de%20Toulouse/?format=json"}],"organisedByTeams":[{"id":22,"name":"Genotoul-bioinfo","url":"https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=json"}],"logo_url":null,"updated_at":"2025-12-01T11:56:55.465635Z","audienceTypes":[],"audienceRoles":[],"difficultyLevel":"Novice","trainingMaterials":[{"id":148,"name":"Perl One-liner - Genotoul-bioinfo","url":"https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Perl%20One-liner%20-%20Genotoul-bioinfo/?format=json"}],"learningOutcomes":"","hoursPresentations":3,"hoursHandsOn":3,"hoursTotal":null,"personalised":null,"event_set":["https://catalogue.france-bioinformatique.fr/api/event/531/?format=json","https://catalogue.france-bioinformatique.fr/api/event/723/?format=json"]},{"id":332,"name":"SHORT-READ ALIGNMENT AND SMALL SIZE VARIANTS CALLING","shortName":"","description":"This training session, organized jointly with the Sigenae platform, is designed to introduce NGS data, in particular Illumina Solexa technologies with command line. 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