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            "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",
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            "description": "Many analysis generate large result text files which have to be checked, merged, split, reduced. Several tools have been developed and are available on Unix to do this, including sed and AWK. During this course you will be trained to process large files with sed and AWK. Sed is tool enabling to select and process lines. You can easily insert, delete, modify, append lines to very large files with millions of lines. AWK will enable to perform more fine tuned file modifications based on columns. It includes also more mathematical and string functions.  The course is based mainly on exercises with small sections presenting concepts and commands.",
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            "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",
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            "name": "LINUX - session 2022/03/14",
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            "description": "This training session is organized by the Genotoul bioinfo platform and aims at learning sequence analysis. This training session has been designed to familiarize yourself with the platform resources and its organization. You will learn to access the platform from your work station, what is an Linux environment and how to use it, how to create and manipulate files, how to transfer them from and to your personal computer.\r\n\r\nThis training is focused on practice. It consists of 3 modules with a large variety of exercises:\r\n\r\n- Connect to « genotoul » server (09:00 am to 10:30 am): Platform presentation, Linux basics, opening an user account, Putty installation, first connection.\r\n- Files and basics commands  (10:45 am to 12:00 pm): types of files and secure access, file manipulation commands, text editors and viewers, disk space management .\r\n- Transfers and file manipulation (14:00 pm to 17:00 pm): download/transfer, compress/uncompress, utility commands and data extraction, output redirections.",
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            "updated_at": "2025-05-09T13:21:03.858451Z",
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            "id": 668,
            "name": "Cluster - 12 March 2025",
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            "description": "This training session is designed to help you deal with the platform compute cluster and data banks. You will launch your first processing batch on the cluster and will learn how to track and manage them. Organized jointly by the Sigenae and bioinfo genotoul platforms.",
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                "Non-academic: 550€ + 20% taxes (TVA)",
                "Academic but non-INRAE: 170 € + 20% taxes (TVA)",
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            "keywords": [
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            "prerequisites": [
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            "openTo": "Everyone",
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            "type": "Training course",
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            "end_date": "2025-03-12",
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            "city": "castanet-tolosan",
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            "geographical_range": "National",
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            "homepage": "http://bioinfo.genotoul.fr/index.php/events/modify-and-extract-information-from-large-text-files-day-2-3/",
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                "Academic but non-INRAE: 170 € + 20% taxes (TVA)",
                "For INRAE's staff: 150 € no VAT charged;"
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            "updated_at": "2024-03-26T14:25:14.649994Z",
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            "end_date": "2024-04-24",
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            "city": "Castanet Tolosan",
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            "openTo": "Everyone",
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            ],
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            "end_date": "2023-11-14",
            "venue": "",
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            "openTo": "Everyone",
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            "venue": "",
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            "country": "France",
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            "registration_closing": "2024-10-01",
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        },
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            "end_date": "2025-11-19",
            "venue": "",
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            "realisation_status": "past",
            "registration_opening": "2025-05-09",
            "registration_closing": "2025-11-12",
            "registration_status": "closed",
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        },
        {
            "id": 359,
            "name": "Assemblage de génome",
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            "description": "",
            "homepage": "",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [],
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            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
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            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2017-11-05",
            "end_date": null,
            "venue": "",
            "city": "Université Montpellier 1",
            "country": "",
            "geographical_range": "",
            "trainers": [],
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            "registration_opening": null,
            "registration_closing": null,
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        },
        {
            "id": 390,
            "name": "Introduction to R Language",
            "shortName": "",
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            "homepage": "",
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            "topics": [],
            "keywords": [
                "Biostatistics"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "Formation payante dans le catalogue CNRS.\n",
            "maxParticipants": null,
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            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2019-05-20",
            "end_date": null,
            "venue": "",
            "city": "CBiB",
            "country": "",
            "geographical_range": "",
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        },
        {
            "id": 246,
            "name": "Analyse primaire de données issues de  séquenceurs nouvelle génération sous Galaxy",
            "shortName": "",
            "description": "\nObjectifs\n\nConnaître les concepts et méthodes bioinformatiques utilisés pour l’analyse primaire de données issues de NGS. Application aux outils de mapping et d’assemblage.\nProgramme\nThéorie \n•Présentation des différents types de séquenceurs\n•Les grandes familles d’algorithmes de mapping de lectures courtes d’assemblage et les outils associés\nPratique\nAnalyse des données de séquençage d’un génome bactérien\n•Contrôle qualité\n•Assemblage de-novo\noNettoyage des données\noAssemblage\noVisualisation et statistiques sur l’assemblage\n•Comparaison à un génome de référence :\noMapping des lectures sur un génome proche\noVisualisation du mapping \n",
            "homepage": "http://migale.jouy.inra.fr/",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "NGS Data Analysis",
                "Galaxy",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "Ce cycle est ouvert à l'ensemble des agents de l'INRA et aux extérieurs.\n",
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            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
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            "end_date": null,
            "venue": "",
            "city": "Jouy en Josas",
            "country": "",
            "geographical_range": "",
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        },
        {
            "id": 317,
            "name": "Annotation and Analysis of Procaryotic genomes using the MicroScope platform",
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            "description": "",
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            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
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            "end_date": "2017-09-28",
            "venue": "",
            "city": "Université d'Evry Val d'Essonne",
            "country": "",
            "geographical_range": "",
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        },
        {
            "id": 276,
            "name": "Linux et script pour la bioinformatique",
            "shortName": "",
            "description": "Pour la plupart des tâches communes, le système Linux (libre et gratuit) peut avantageusement remplacer les systèmes d'exploitation propriétaires tels que Windows ou MacOS. Les énormes avantages de Linux sont sa gratuité, son évolution constante et l'inexistence des virus. Ce stage est une initiation à l'utilisation du système d'exploitation Linux et des lignes de commande pour les non informaticiens, ainsi qu'une initiation à l'écriture et l'emploi de scripts (petits programmes) pour faciliter l'analyse de données. Il s'agit pour des débutants ou quasi débutants Linux d'utiliser le système et d'acquérir l'autonomie nécessaire pour résoudre les besoins communs simples d'analyse par la combinaison des méthodes à travers des scripts.\n \n",
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            "is_draft": false,
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            "topics": [],
            "keywords": [
                "Linux"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "S'acquitter des frais d'inscription, notions de base en informatique : fichiers, répertoires, etc.\n",
            "maxParticipants": null,
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            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
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            "venue": "",
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        },
        {
            "id": 329,
            "name": "How to use South Green HPC (IRD cluster)?",
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                "Free"
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            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
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            "venue": "",
            "city": "Centre IRD Montpellier",
            "country": "",
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        },
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            "name": "INTRODUCTION À L'ANALYSE DE DONNÉES",
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            "description": "\nL'utilisation de plus en plus répandue de techniques d’imagerie et de séquençage à haut-débit en biologie est en train de révolutionner les sciences du vivant et de modifier en profondeur leurs pratiques. Dans ce contexte, des outils statistiques sont développés pour permettre d’analyser ces données de hautes dimensions, et la maîtrise de ces outils devient de plus en plus nécessaire pour produire des résultats de bonne qualité. Ce cours de 4 semaines couvrira les étapes nécessaires pour mettre en place un processus d’analyse de données, depuis la planification de l’expérience jusqu’à la fouille des données en passant par l’échantillonnage, les test d’hypothèses, la modélisation statistique etc.\nCe cours s’adresse en priorité aux étudiants de première année de thèse de l’Institut Pasteur. Tout étudiant en thèse sera automatiquement inscrit à ce cours, mais les élèves de 2e année, de 3e année ou les post-doctorants peuvent également s’inscrire, dans la limite des places disponibles. Il est à noter que le cours est obligatoire pour les étudiants de 1ère année. Des dispenses partielles ou totales sont possibles pour les étudiants qui ont déjà des connaissances en statistique, en mathématique ou en physique. Le cours déroulera sur 4 semaines, 4 jours par semaine, trois heures par jour. Chaque séance de trois heures alternera cours magistral et mise en pratique. Il y aura deux sessions : la première commencera le 22 octobre 2018 et la deuxième le 14 janvier 2019.\nChacune de ces deux sessions sera précédée d’une séance d’introduction à l’informatique. Cette séance proposera des notions d’architecture de l’ordinateur, de système d’organisation des fichiers et de format de fichiers. Chaque session sera également suivie d’un cours optionnel sur l’analyse et le traitement des images.\nPour plus d’information, ainsi que pour les inscriptions au module optionnel et les demandes d’exemption, rendez-vous sur la page du cours : https://c3bi.pasteur.fr/introduction-to-data-analysis-2018-19/\nThèmes abordés\nLe module d’analyse de données couvrira un large champ de notions nécessaires aux étudiants pour planifier leurs expériences, analyser et explorer leurs données, interpréter les résultats et générer des figures à des fins de publication. Il abordera des notions de base en statistique, dont les analyses uni- et multivariées, les analyses descriptives, les distributions statistiques usuelles utilisées en biologie, ainsi que les tests d’hypothèses. Les exercices et travaux pratiques seront réalisés avec R et RStudio. Plusieurs séances seront consacrées à une introduction à l’utilisation du langage de programmation R avant d’aborder les notions de statistiques et d’analyse de données.\nLe module d’analyse d’images introduira les principes de base de l’analyse d’image, et portera plus particulièrement sur l’extraction d’information quantitative d’images de microscopie. Ce cours est destiné aux personnes ayant peu ou pas d’expérience en analyse d’image. Il sera très orienté sur la pratique : des cours magistraux de courte durée seront immédiatement suivis de sessions pratiques. Il aidera à la fois les microscopistes débutants et experts qui n’ont jamais eu de formation concrète en analyse d’image.\n \n\n",
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                "Statistical Tests",
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                "Image analysis",
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            "id": 284,
            "name": "Unix",
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