Training List
Handles creating, reading and updating training events.
GET /api/training/?format=api&offset=100&ordering=-contacts
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Ces enjeux nécessitent l’acquisition de connaissances sur la biodiversité pour répondre aux grands défis planétaires (e.g. modéliser, anticiper, prévenir les catastrophes écologiques), aux objectifs de développement durable, et contribuer aux grandes transitions de la société dans un contexte de changement climatique.\r\n\r\nLe metabarcoding est aujourd’hui une des approches incontournable dans la description des écosystèmes pour répondre à ces enjeux scientifiques; elle offre une caractérisation exhaustive de la diversité taxonomique (composition en espèces et abondances) d’un écosystème via le séquençage massif de marqueurs d’intérêts (e.g. ARN ribosomaux 16S, 18S, gène COX, …) et le post-traitement bio-informatique des données générées.\r\n\r\nL’Action Nationale de Formation CNRS-INSU MetaBioDiv, portée par l’Institut Méditerranéen d’Océanologie (Armougom F., MIO) et la Délégation Régionale Côte d’Azur CNRS (DR20, Pierrette Finsac), propose à la communauté scientifique une formation sur la caractérisation de la biodiversité taxonomique d’écosystèmes (procaryotes et micro-eucaryotes) par le prisme du séquençage haut-débit Illumina (Miseq) et du traitement bio-informatique associé (outils R sous Rstudio).", "homepage": "https://anfmetabiodiv.mio.osupytheas.fr", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": null, "updated_at": "2022-06-22T13:18:40.590388Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Researchers", "Life scientists", "Biologists", "Bioinformaticians" ], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/488/?format=api" ] }, { "id": 69, "name": "Methods for phylogenetics trees construction", "shortName": "", "description": "This training session is organized by the bios4Biol CATI and aims at training participants to construct and interpret phylogenetic trees.\nYou will discover how to choose an evolutionary model and a phylogenetic inference method (among distance, parsimony, maximum likelihood and Bayesian methods) and how to evaluate the robustness of a tree using bootstrap.\n", "homepage": "http://bioinfo.genotoul.fr/index.php/events/methods-for-phylogenetic-trees-const…", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Phylogeny", "Evolution and Phylogeny", "Molecular evolution", "Genes and genomes" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "You need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private.\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": 70, "name": "Phylogenomy and selection pressure ", "shortName": "", "description": "This training session is organized by the bios4Biol CATI.\nMorning : phylogenomics\nThe morning course will provide insigths about sampling problems in phylogenomics studies (genes, species) and methodological aspects of phylogenomics studies with two major focus on super-matrix and super-tree methods.\nAfternoon : selection pressure\nThe afternoon course will be dedicated to the use of the PAML4 package in order to study selection pressures in a sequence alignment.\n", "homepage": "http://bioinfo.genotoul.fr/index.php/events/phylogenomics-and-selection-pressure…", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Phylogeny", "Evolution and Phylogeny", "Molecular evolution", "Selection Detection", "Phylogenomics", "Genes and genomes" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "You need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private.\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": 71, "name": "Galaxy : first step", "shortName": "", "description": "Galaxy is a workbench available for biologists from Sigenae Platform. Galaxy objectives are:\n First, making bioinfo Linux tools accessible to biologists.\n Then, it is possible to add Linux tools by developpers into Galaxy workbench.\n Then, Galaxy is used to hide the complexity of the infrastructure and to allow creation, execution and sharing of workflows.\nYou will acquire the following competencies required for the other Galaxy trainning:\n Login to Galaxy: Galaxy Workbench (To access to Galaxy, you need to have an LDAP Genotoul login and password).\n Begin to use some tools provided (BWA, SAM tools, FastQC).\n Work on files.\nOrganized jointly by the Sigenae and the Bioinfo Genotoul platform.\n", "homepage": "http://bioinfo.genotoul.fr/index.php/events/first-step-with-galaxy/", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "Web portals", "Galaxy", "Interfaces", "NGS Sequencing Data Analysis" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "You need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private.\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": 72, "name": "Galaxy : Reads alignment and SNP calling", "shortName": "", "description": "As the command line training but with Galaxy. Organized jointly by the Sigenae and bioinfo genotoul platforms.\n", "homepage": "http://bioinfo.genotoul.fr/index.php/events/reads-alignment-and-small-size-varia…", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "NGS Data Analysis", "Galaxy", "Variant analysis", "Genomics (DNA-seq)", "NGS Sequencing Data Analysis" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "You need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private\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/262/?format=api" ] }, { "id": 73, "name": "Galaxy : RNASeq alignment and transcripts assemblies", "shortName": "", "description": "As the command line training but with Galaxy. Organized jointly by the Sigenae and the Bioinfo Genotoul platforms.\n", "homepage": "http://bioinfo.genotoul.fr/index.php/events/rnaseq-alignment-and-transcripts-ass…", "is_draft": false, "costs": [], "topics": [], "keywords": [ "NGS Data Analysis", "Analysis of RNAseq data", "Gene expression differential analysis", "Galaxy", "Transcript and transcript variant analysis", "Transcriptomics (RNA-seq)", "NGS Sequencing Data Analysis" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "You need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private\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": 75, "name": "Galaxy: metagenomic: sequence analysis of amplicons from MiSeq and 454 sequencing with FROGS with Galaxy first step and statistics", "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", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Galaxy" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "An account on the platform Bioinfo Genotoul is necessary (request a form on the website), you need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private\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": 349, "name": "Reproducible Research", "shortName": "", "description": "The following topics and tools are covered in the course:\r\n\r\n Data management\r\n Project organisation\r\n Git\r\n Conda\r\n Snakemake\r\n Nextflow\r\n R Markdown\r\n Jupyter\r\n Docker\r\n Singularity\r\n\r\nAt the end of the course, students should be able to:\r\n\r\n Use good practices for data analysis and management\r\n Clearly organise their bioinformatic projects\r\n Use the version control system Git to track and collaborate on code\r\n Use the package and environment manager Conda\r\n Use and develop workflows with Snakemake and Nextflow\r\n Use R Markdown and Jupyter Notebooks to document and generate automated reports for their analyses\r\n Use Docker and Singularity to distribute containerized computational environments", "homepage": "https://southgreenplatform.github.io/training_reproducible_research/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [ "Linux - 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Acquérir des connaissances théoriques et pratiques en phylogénie moléculaire.\n2. Être autonome dans la conduite d'une analyse phylogénétique.\n3. Maîtriser le choix, le paramétrage et l'exploitation des résultats des programmes de phylogénie.\nhttps://cnrsformation.cnrs.fr/\n\n", "homepage": "http://cnrsformation.cnrs.fr/stage-17007-Phylogenie-moleculaire-%28Montpellier%2…", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Phylogeny", "Evolution and Phylogeny", "Molecular evolution", "Speciation dating", "Selection Detection", "Supertrees and Reconciliations", "Phylogenomics", "Genes and genomes" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "S'acquitter des frais d'inscription, être familiarisé avec les banques de données de séquences, avoir déjà utilisé les logiciels de base en bioinformatique, connaître les notions de base en statistiques (tests, lois probabilistes usuelles, méthodes simples d'estimation de paramètres), avoir des notions de programmation.\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/263/?format=api" ] }, { "id": 80, "name": "Bioinformatique pour le traitement de données de séquençage (NGS)", "shortName": "", "description": "\nLes objectifs sont :\n- Savoir choisir les outils d'analyse\n- Etre autonome pour effectuer un pipeline d'analyse\n- Comprendre les principes des méthodes d'analyse\n- Savoir manipuler les fichiers de séquences : préparation et filtration\n- Etre capable d'évaluer la qualité des données\n- Savoir analyser avec ou sans génome de référence\nhttps://cnrsformation.cnrs.fr/\n\n", "homepage": "http://cnrsformation.cnrs.fr/stage-17010-Bioinformatique-pour-le-traitement-de-d…", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Methodology", "NGS Data Analysis", "Analysis of RNAseq data", "Assembly of genomes and transcriptomes", "Read alignment on genomes", "Variant analysis", "Complete genomes", "Transcriptomics (RNA-seq)", "Genomics (DNA-seq)", "NGS Sequencing Data Analysis" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "S'acquitter des frais d'inscription, notions de base en informatique : fichiers, répertoire..., notions du système linux et des lignes de commandes, niveau master\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/264/?format=api" ] }, { "id": 81, "name": "Master Sciences & Numérique pour la Santé", "shortName": "", "description": "La spécialité BCD a pour objectif de former les étudiants issus des Sciences du vivant (agronomie, biologie moléculaire, cellulaire, physiologie animale et végétale, biochimie), des sciences médicales, de l'informatique ou des mathématiques aux besoins spécifiques de la bioinformatique, des systèmes d'informations, de l'extraction de connaissances et de la modélisation du vivant tout en renforçant les compétences de leur profil initial.\n", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [ "Master" ], "openTo": "Internal personnel", "accessConditions": "M1 : licence math, info, physique, EEA, biologie, STAPS + équiv. 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