Training List
Handles creating, reading and updating training events.
GET /api/training/?format=api&offset=40&ordering=-contacts
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Organized jointly by the Sigenae and Bioinfo Genotoul platforms.\n", "homepage": "http://bioinfo.genotoul.fr/index.php/events/srnaseq/", "is_draft": false, "costs": [], "topics": [], "keywords": [ "NGS Data Analysis", "Small and long non-coding RNAs", "Analysis of RNAseq data", "Galaxy" ], "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": 322, "name": "Introduction to Structural variant detection analyses", "shortName": "", "description": "Program\r\n\r\n* Handling mapping tools suitable for ILLUMINA and ONT data (bwa, minimap2)\r\n* SNP detection from mapping of short reads against a reference genome: SNP calling, filters and SNP annotation. Examples of possible studies based on SNP arrays\r\n* Detecting Structural Variations (SV) in short and long reads (breakdancer, sniffle)\r\n* SV detection from genome assembly and comparison (minimap2, nucmer, assemblytics, siry)", "homepage": "https://southgreenplatform.github.io/trainings//sv/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [ "Linux and knowledge of NGS formats" ], "openTo": "Internal personnel", "accessConditions": "Open to South Green close collaborators", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 24, "name": "South Green", "url": "https://catalogue.france-bioinformatique.fr/api/team/South%20Green/?format=api" } ], "logo_url": "https://southgreenplatform.github.io/trainings//images/southgreenlong.png", "updated_at": "2023-01-24T10:41:28.470404Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 14, "hoursHandsOn": 14, "hoursTotal": 28, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/564/?format=api" ] }, { "id": 14, "name": "Formation interne pipeline RNASeq", "shortName": "", "description": "", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [ "NGS Data Analysis", "Analysis of RNAseq data" ], "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": 160, "name": "Cluster", "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/283/?format=api" ] }, { "id": 334, "name": "Summer School Multi-omics Data Analysis and Integration", "shortName": "", "description": "Researchers often have access to or generate multiple omics data (RNAseq, metabolomics, lipidomics, proteomics…) within a single study. Although each omics data is usually analyzed individually, combining complementary data can yield a better understanding of the mechanisms involved in biological processes. Several integrative approaches are now available to combine such data, coming essentially from two families of methods, namely multivariate statistical analyses and network-based approaches. During this summer school both methodologies will be covered, introducing RGCCA and mixOmics for multivariate analyses and WGCNA and SNF for network-based strategies. To get meaningful biological information, the interpretation of statistical results needs to be done contextualizing them in the available biological knowledge. To address this major step we need to be able to access and interrogate databases. We will harness this subject introducing semantic web and knowledge graphs in the context of metabolic networks.\r\n\r\nDuring the School, significant time will be devoted to hands-on and the program will be divided into three phases / topics:\r\n- Multivariate statistical analyses (Instructors: Arnaud Gloaguen & Jimmy Vandel)\r\n- Network-based approaches (Instructors: Morgane Térézol & Marie-Galadriel Brière)\r\n- Results contextualisation: an introduction to metabolic models, web semantic and knowledge graphs (Instructors: Jean-Clément Gallardo, Maxime Delmas & Marco Pagni)\r\n\r\nThe participants will work in groups and shortly present the application of what they have learned to their own project.", "homepage": "https://www.sib.swiss/training/course/20230903_MODAI", "is_draft": false, "costs": [], "topics": [ "http://edamontology.org/topic_0089", "http://edamontology.org/topic_2269", "http://edamontology.org/topic_0602" ], "keywords": [ "Biological network inference and analysis", "Multivariate analyses", "Semantic web", "Knowledge representation" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [ { "id": 1, "name": "Training", "url": "https://catalogue.france-bioinformatique.fr/api/elixirplatform/Training/?format=api" } ], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 100, "name": "SIB", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/SIB/?format=api" }, { "id": 4, "name": "IFB - ELIXIR-FR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api" } ], "organisedByTeams": [], "logo_url": null, "updated_at": "2023-04-26T16:14:06.237852Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Intermediate", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/532/?format=api" ] }, { "id": 27, "name": "Perl avancé", "shortName": "", "description": "\nObjectifs\n\nAller plus loin avec Perl afin d’être autonome pour des manipulations complexes visant à extraire et reformater des données issues de fichiers texte.\n\n \n \n \n \nProgramme\n\n- Expressions régulières\n- Fonctions\n- Prise en main de Bioperl\n \n \nIllustration avec des exercices de manipulation de fichiers de séquences et de fichiers de résultats d’outils bionformatiques.\n \n", "homepage": "http://migale.jouy.inra.fr/", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Programming Languages & Computer Sciences", "Perl Langage" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Ce cycle est ouvert à l'ensemble des agents de l'INRA et aux extérieurs.\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/250/?format=api" ] }, { "id": 83, "name": "Projet AMIDEX \"spongex\"", "shortName": "", "description": "", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Autre" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Accès en local aux différents clusters\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": 84, "name": "Master STIC pour la Santé", "shortName": "", "description": "", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [ "Master" ], "openTo": "Internal personnel", "accessConditions": "Accès en local aux différents clusters\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": 309, "name": "EBAII A&A - Ecole EBAII Assemblage & Annotation / Assembly & Annotation EBAII school", "shortName": "EBAII Assemblage & Annotation / Assembly & Annotation EBAii school", "description": "Objectifs\r\nLa formation s’adresse à des biologistes directement impliqués dans des projets “Next Generation Sequencing” (NGS), pour l'assemblage et l'annotation de novo de génomes. Cette édition de l’école aborde les nouveaux enjeux technologiques: elle s’articulera autour des différentes étapes qui mèneront à l’obtention d’un génome annoté à partir de données “long reads” et “hybride” : contrôle qualité des données, assemblage, scaffolding, polishing, annotation structurale et fonctionnelle (en session parallèle pour les procaryotes et les eucaryotes). \r\nL’école vise à introduire les concepts, à manipuler les outils informatiques et à en interpréter les résultats. Elle est basée sur une alternance de courtes sessions théoriques et d’ateliers pratiques. Les participants bénéficieront d’un tutorat personnalisé pour élaborer leur plan d’analyse, et effectuer les premières étapes de traitement de leurs propres données ou de celles de leur équipe.\r\nAttention : le tutorat n'a pas pour vocation de réaliser l’analyse complète des données des participants.\r\nPublic visé\r\nCette formation est destinée aux biologistes (ingénieurs, doctorants, chercheurs, enseignants-chercheurs, praticiens…) confrontés à l’analyse de données NGS, et qui ne disposent pas des compétences bioinformatiques suffisantes.", "homepage": "https://www.france-bioinformatique.fr/formation/ebaii2022_genomique/", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 40, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "https://cvt.aviesan.fr/wp-content/themes/cvtaviesan/images/logo_cvt.png", "updated_at": "2024-12-05T09:11:55.721141Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "Initiation au traitement des données de génomique obtenues par séquençage à haut débit\r\nAssemblage et annotation de novo de génomes\r\nL’école vise à introduire les concepts, à manipuler les outils informatiques et à en interpréter les résultats. Elle est basée sur une alternance de courtes sessions théoriques et d’ateliers pratiques. Les participants bénéficieront d’un tutorat personnalisé pour élaborer leur plan d’analyse, et effectuer les premières étapes de traitement de leurs propres données ou de celles de leur équipe.", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": true, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/463/?format=api" ] }, { "id": 384, "name": "EBAII - Ecole de Bioinformatique niveau intermédiaire", "shortName": "EBAII N2", "description": "Objectifs: L’école s’articulera autour de trois ateliers thématiques en session parallèle (RNA-seq, ChIP-seq, variants DNA-seq), et abordera la visualisation et l’intégration des données. \r\n\r\nEnvironnement de travail: L’ensemble de la formation reposera sur l’utilisation de commandes en ligne (terminal Linux) et du langage R. \r\n\r\nPrérequis: Les candidats doivent avoir acquis les compétences enseignées durant l’école de niveau débutant: un niveau de base en ligne de commande, R, et (au choix) RNA-seq, ChIP-seq ou variants DNA-seq.", "homepage": "", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_3391", "http://edamontology.org/topic_3366", "http://edamontology.org/topic_0092", "http://edamontology.org/topic_3168", "http://edamontology.org/topic_0091" ], "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) avec un niveau de base en ligne de commande, R, et (au choix) RNA-seq, ChIP-seq ou variants DNA-seq.", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "https://www.sb-roscoff.fr/sites/www.sb-roscoff.fr/files/styles/large/public/images/station-biologique-roscoff-roscoff-4404.jpg", "updated_at": "2024-12-05T07:33:48.573507Z", "audienceTypes": [], "audienceRoles": [ "Biologists" ], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/644/?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": 375, "name": "RNASeq Analysis", "shortName": "RNASeq Analysis", "description": "Objectives\r\n- Understand the key steps in RNASeq data analysis for a differential expression study\r\n- Know how to perform command-line analysis using Snakemake.\r\n\r\nPedagogical Content\r\nDay 1\r\n- Principle of RNASeq technology: objectives and experimental design.\r\n- Data quality assessment (FastQC, MultiQC).\r\n- Sequence alignment to a reference genome (STAR).\r\n\r\nDay 2\r\n- Differential gene expression analysis (HTSeqCount, DESeq2).\r\n- Functional annotation (GO, Kegg).\r\n- Using the Snakemake workflow system.\r\n- Comparison between RNASeq and 3’SRP methods.\r\n\r\nThe theoretical part is followed by a pipeline run step-by-step on a test dataset. \r\nIt will be possible to start an analysis on your own data.", "homepage": "https://pf-bird.univ-nantes.fr/training/rnaseq/", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "- Be comfortable with basic Linux commands or have completed the training course “Introduction to the command-line interface.”\r\n- Be familiar with the use of a computing cluster, conda/mamba et snakemake or have completed the training course “Best practices in bioinformatics.”", "maxParticipants": 12, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 16, "name": "BiRD", "url": "https://catalogue.france-bioinformatique.fr/api/team/BiRD/?format=api" } ], "logo_url": "https://bird.univ-nantes.io/website/images/logo/logo.svg", "updated_at": "2026-03-02T16:30:29.225935Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Life scientists", "Biologists", "Bioinformaticians" ], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 7, "hoursHandsOn": 7, "hoursTotal": 14, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/746/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/603/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/640/?format=api" ] }, { "id": 145, "name": "IBI - 2", "shortName": "", "description": "", "homepage": "http://www.france-bioinformatique.fr/en/evenements/IFB-IBI", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/cloudIFB_3.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/274/?format=api" ] }, { "id": 31, "name": "Fouille de texte", "shortName": "", "description": "http://migale.jouy.inra.fr/?q=fr/formations\n", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Autre" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "http://migale.jouy.inra.fr/?q=fr/formations\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": 110, "name": "Galaxy : first step", "shortName": "", "description": " \n\nLe programme de cette introduction à Galaxy est le suivant : présentation de Galaxy, se connecter à l’instance toulousaine, commencer à utiliser certains outils bioinformatiques standards, la gestion des fichiers dans galaxy. Découvrir les bonnes pratiques dans Galaxy. Organisée en collaboration avec la plateforme Bioinfo Genotoul.\n\n\n", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Galaxy" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Avoir un compte sur la plateforme Bioinfo Genotoul (demande via un formulaire web sur notre site), s’inscrire (via notre site web) et payer 150 euros la journée pour un académique et 500 euros la journée pour un privé.\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": 111, "name": "Spectrométrie de masse, analyse protéomique et interprétation des données", "shortName": "", "description": "", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Autre" ], "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": 257, "name": "Metabarcoding analyses (using FROGS in Galaxy and Phyloseq)", "shortName": "", "description": "This course offers an introduction to metabarcoding analyses at two different levels/steps: bioinformatics with FROGS pipeline in the Galaxy environment, biostatistics with PhyloSeq R package. This includes preprocessing, clustering and OTU picking, taxonomic assignation, estimation of diversity, visualization of statistics results.\r\nPrerequisites\r\nGalaxy, R knowledge\r\n\r\nProgram\r\nIntroduction to metagenomics and metabarcoding\r\nPre-processing, Clustering, taxonomic affiliation (FROGS)\r\nHandling and visualizing OTU table using PhyloSeq R package (PhyloSeq)\r\n\r\n\r\nLearning objectives\r\nManipulate tools available for metabarcoding analysis\r\nStudy sample diversity by using NGS and post-NGS analysis tools\r\nVisualize diversity metrics in metabarcoding approach\r\n\r\n\r\nInstructors\r\nJulie Orjuela - julie.orjuela@ird.fr\r\nFlorentin Constancias - florentin.constancias@cirad.fr\r\nAlexis Dereeper - alexis.dereeper@ird.fr", "homepage": "https://southgreenplatform.github.io/trainings//metabarcoding/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Open to South Green close collaborators", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 24, "name": "South Green", "url": "https://catalogue.france-bioinformatique.fr/api/team/South%20Green/?format=api" } ], "logo_url": "https://southgreenplatform.github.io/trainings//images/southgreenlong.png", "updated_at": "2023-01-24T10:25:28.170059Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/566/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/389/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/535/?format=api" ] }, { "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=api" ] }, { "id": 153, "name": "Cycle « Initiation à la bioinformatique » - Module 1/4 : Banques de données et Blast", "shortName": "", "description": "Bilille propose un cycle de découverte de la bioinformatique à destination des chercheur·euses, enseignant·es-chercheur·euses, ingénieur·es, technicien·nes et doctorant·es en biologie. Aucun pré-requis en informatique n'est attendu.\r\nLe cycle est constitué de quatre modules de deux jours:\r\n- Banques de données et BLAST\r\n- Alignement de séquences\r\n- Prédiction de gènes et annotation de protéines\r\n- Initiation à la reconstruction phylogénétique en biologie moléculaire\r\nCes modules peuvent être suivis indépendamment, mais ont une cohérence. 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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" ] } ] }
