Training List
Handles creating, reading and updating training events.
GET /api/training/?format=api&ordering=-logo_url
{ "count": 370, "next": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=20&ordering=-logo_url", "previous": null, "results": [ { "id": 289, "name": "Introduction to galaxy: looking for variants in prokaryotes", "shortName": "Introduction to galaxy", "description": "This course will focus on the technical aspects of using a galaxy server. Accessible without any prerequisite in computer science, it will allow you to master the different fundamental tools of galaxy and will open the doors of bioinformatics analysis for your different projects.\r\nDifferent questions will be addressed through an example of variants analysis in a prokaryotic organism. At the end of this course, on any accessible galaxy instance, you will be able to:\r\n- upload your data\r\n- map them on a reference genome\r\n- find the variants (SNPs) and analyze the results\r\n- generate, manipulate and share your workflows, data and histories\r\n- find the right tools for other analyses and use them in your own project.\r\n\r\nUnless all participants speak French, the course will be taught in English.", "homepage": "https://pliniuscursus.univ-amu.fr/formation/galaxy-platform/", "is_draft": false, "costs": [ "Free to academics" ], "topics": [ "http://edamontology.org/topic_0091", "http://edamontology.org/topic_0622" ], "keywords": [], "prerequisites": [ "Master" ], "openTo": "Internal personnel", "accessConditions": "The first sessions are only available for IM2B students.", "maxParticipants": 12, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 23, "name": "PACA-Bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/team/PACA-Bioinfo/?format=api" } ], "logo_url": null, "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [ "Graduate" ], "audienceRoles": [ "Biologists" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 1, "hoursHandsOn": 5, "hoursTotal": 6, "personalised": null, "event_set": [] }, { "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_0602", "http://edamontology.org/topic_2269", "http://edamontology.org/topic_0089" ], "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": 4, "name": "IFB", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB/?format=api" }, { "id": 100, "name": "SIB", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/SIB/?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": 283, "name": "Presentation of IMGT® standards, databases, tools and web resources", "shortName": "IMGT", "description": "Presentation of IMGT® patterns and resources for the study of genes, expressed repertoires and three-dimensional structures of immunoglobulins (antibodies) and T cell receptors.", "homepage": "https://www.imgt.org/", "is_draft": false, "costs": [], "topics": [ "http://edamontology.org/topic_3930", "http://edamontology.org/topic_3948" ], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": null, "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": true, "event_set": [] }, { "id": 385, "name": "IMGT® Webinar series", "shortName": "IMGT® Webinar series", "description": "A serie of five webnaires to understand IMGT databases and tools\r\n\r\nWebinar 1: Comprehensive Guide to IMGT®, The International ImMunoGeneTics Information System®\r\nWebinar 2: IMGT research axis I: IMGT biocuration pipeline and IMGT annotated data in IMGT databases and tools\r\nWebinar 3: IMGT research axis II: Analysis and exploration of the expressed IG and TR repertoires with IMGT tools\r\nWebinar 4: IMGT research axis III: databases and tools for the analysis of the proteins, structures and engineered antibodies\r\nWebinar 5: IMGT-KG: a knowledge graph in immunogenetics", "homepage": "https://www.imgt.org/IMGTeducation/webinar.php", "is_draft": false, "costs": [], "topics": [ "http://edamontology.org/topic_2814", "http://edamontology.org/topic_3930", "http://edamontology.org/topic_3948" ], "keywords": [ "Protein structures", "Immunogenetics", "Monoclonal antibody" ], "prerequisites": [ "none" ], "openTo": "Everyone", "accessConditions": "free inscription", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/339/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 46, "name": "IMGT", "url": "https://catalogue.france-bioinformatique.fr/api/team/IMGT/?format=api" } ], "logo_url": null, "updated_at": "2024-12-04T10:46:29.357307Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": 1, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/654/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/656/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/657/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/672/?format=api" ] }, { "id": 295, "name": "Introduction to the use of a computing cluster", "shortName": "", "description": "Knowledge of the concepts and best practices for using the computing resources of the mesocenter cluster Clermont Auvergne in a bioinformatics context.\r\nBecome familiar with the work environment of the computing cluster, become autonomous in the use of its resources and learn to use a scheduler. \r\nPresentation of the resources accessible on the cluster (computing nodes, storage spaces, tools).\r\nConcept of jobs, queues and parallel computing.\r\nJob management (submission, follow-up, deletion).", "homepage": "https://mesocentre.uca.fr/", "is_draft": false, "costs": [ "Free to academics" ], "topics": [ "http://edamontology.org/topic_0091", "http://edamontology.org/topic_0605" ], "keywords": [], "prerequisites": [ "Linux and knowledge of NGS formats" ], "openTo": "Internal personnel", "accessConditions": "Have an account on the Mesocentre UCA computing cluster (make a request if necessary on the site https://hub.mesocentre.uca.fr)\r\nAlternation of theoretical courses and practical work.\r\nCOME WITH A LAPTOP with an operational Eduroam connection.\r\nThe training is in French.", "maxParticipants": 10, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 45, "name": "UMR 454 MEDIS INRA-Université Clermont Auvergne", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/UMR%20454%20MEDIS%20INRA-Universit%C3%A9%20Clermont%20Auvergne/?format=api" } ], "organisedByTeams": [ { "id": 31, "name": "AuBi", "url": "https://catalogue.france-bioinformatique.fr/api/team/AuBi/?format=api" } ], "logo_url": null, "updated_at": "2023-01-24T10:21:58.347905Z", "audienceTypes": [ "Graduate" ], "audienceRoles": [ "Researchers", "Computer scientists" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 3, "hoursHandsOn": 4, "hoursTotal": 8, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/487/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/616/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/461/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/708/?format=api" ] }, { "id": 314, "name": "Workflow4metabolomics", "shortName": "W4E", "description": "Processing, statistical analysis, and annotation of metabolomics data is a complex task for experimenters since it involves many steps and requires a good knowledge of both the methodology and software tools. The Workflow4Metabolomics.org (W4M) online infrastructure provides a user-friendly and high-performance environment with advanced computational modules for building, running, and sharing complete workflows for LC-MS, GC-MS, FIA and NMR analysis. Such features are of major values for teaching computational metabolomics to experimenters, and previous courses using W4M since 2014 have been very successful.", "homepage": "https://workflow4metabolomics.org/", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 20, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": null, "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/472/?format=api" ] }, { "id": 374, "name": "Environments and best practices for using the BiRD cluster", "shortName": "Best practices BiRD cluster", "description": "Objectives\r\n- Understand and implement the principles of reproducible science in analysis and development projects\r\n- Acquire basic commands necessary for optimal use of the cluster\r\n\r\nPedagogical Content\r\n- Introduction to reproducibility\r\n- Best practices on code history and sharing: Git\r\n- Conda environment\r\n- Presentation of the computing cluster\r\n- Introduction to workflows using Snakemake", "homepage": "https://pf-bird.univ-nantes.fr/training/cluster/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [ "Linux - Basic Knowledge" ], "openTo": "Everyone", "accessConditions": "Have an account on the BiRD cluster.", "maxParticipants": 20, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/596/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 16, "name": "BiRD", "url": "https://catalogue.france-bioinformatique.fr/api/team/BiRD/?format=api" } ], "logo_url": null, "updated_at": "2024-02-08T15:56:16.390499Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 7, "hoursHandsOn": null, "hoursTotal": 7, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/602/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/641/?format=api" ] }, { "id": 291, "name": "Formation au logiciel R", "shortName": "Formation au logiciel R", "description": "Introduction au logiciel R et à son utilisation pour réaliser des graphiques et faire des analyses statistiques basiques en biologie. Introduction aux bibliothèques R utiles en biologie.", "homepage": "http://www.prabi.fr/spip.php?article273", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 14, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 19, "name": "PRABI-AMSB", "url": "https://catalogue.france-bioinformatique.fr/api/team/PRABI-AMSB/?format=api" } ], "logo_url": null, "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [ "Professional (initial)" ], "audienceRoles": [ "Life scientists" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "- Acquérir les compétences nécessaires à l’utilisation du logiciel R\r\n- Connaître les principales analyses statistiques nécessaires en biologie et les utiliser sous R\r\n- Réaliser des graphiques sous R\r\n- Connaitre les bibliothèques R utiles en Biologie", "hoursPresentations": 9, "hoursHandsOn": 12, "hoursTotal": 21, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/437/?format=api" ] }, { "id": 290, "name": "NGS data analysis on the command line", "shortName": "NGS-analysis-cli", "description": "This hands-on course will teach bioinformatic approaches for analyzing Illumina sequencing data. Our goal is to introduce the command line skills you need to make the most of your NGS data. \r\nDuring this 4-day training we will first introduce the Linux environment, shell commands and basic R scripting. And then we will focus on two NGS data analyses -- small RNA-seq and RNA-seq -- based on published datasets from the model organism Arabidopsis thaliana", "homepage": "https://www.ibmp.cnrs.fr/bioinformatics-trainings/", "is_draft": false, "costs": [ "Free to academics" ], "topics": [ "http://edamontology.org/topic_0102", "http://edamontology.org/topic_3170", "http://edamontology.org/topic_2269", "http://edamontology.org/topic_3168" ], "keywords": [], "prerequisites": [ "none" ], "openTo": "Internal personnel", "accessConditions": "This training is dedicated to academics working in a laboratory of Unistra/CNRS.", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/124/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 79, "name": "UPR2357", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/UPR2357/?format=api" } ], "organisedByTeams": [ { "id": 14, "name": "BiGEst", "url": "https://catalogue.france-bioinformatique.fr/api/team/BiGEst/?format=api" } ], "logo_url": null, "updated_at": "2024-01-22T14:51:37.215331Z", "audienceTypes": [], "audienceRoles": [ "Biologists", "Bioinformaticians" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "Applied Knowledge (Know-how):\r\n- Basic proficiency at the Linux command line prompt\r\n- Basic proficiency of R (environment, objects, graphs) \r\n- Next generation sequencing (NGS) file formats; reference genomes - Mapping NGS read data to reference genomes (bowtie, samtools)\r\n- Small RNA-seq analysis; epigenomics applications (ShortStack)\r\n- RNA-seq for transcriptomics; differential gene expression analysis (HISAT2, DESeq2) - Data wrangling and visualization in R (Rstudio, ggplot2)", "hoursPresentations": 12, "hoursHandsOn": 16, "hoursTotal": 28, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/503/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/504/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/589/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/454/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/660/?format=api" ] }, { "id": 300, "name": "Analyse des données RNA-Seq sous l’environnement Galaxy", "shortName": "Analyse des données RNA-Seq sous l’environnement Galaxy", "description": "Introduction à l'analyse des données RNA-Seq sous l’environnement Galaxy", "homepage": "http://www.prabi.fr/spip.php?article274", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 14, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 9, "name": "PRABI", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/PRABI/?format=api" } ], "organisedByTeams": [ { "id": 19, "name": "PRABI-AMSB", "url": "https://catalogue.france-bioinformatique.fr/api/team/PRABI-AMSB/?format=api" } ], "logo_url": null, "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Life scientists" ], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/451/?format=api" ] }, { "id": 319, "name": "Exploration de la Diversité Taxonomique des Ecosystèmes par Metabarcoding", "shortName": "", "description": "En matière de prospectives scientifiques, l’INSU OA, le CNRS et l’IRD ambitionnent de caractériser la biodiversité environnementale afin d’étudier l’impact du changement global sur les milieux et de l’anthropisation de la planète. 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": 333, "name": "Improve your command line skills by learning a few words of Perl", "shortName": "", "description": "This “Perl one-liners” training session is organized by the Sigenae platform. Perl one-liners are small and awesome Perl programs that fit in a single line of code and perform many operations such as replacing of text, spacing, deleting, calculation, manipulation in files and many more. This training will allow you to discover the power of Perl on the command line and learn how to use it to automate your file manipulations and command line generation with classical file formats such as tabulated text, fastq, sam/bam, and vcf.\r\n\r\nThis training lasts one day and is focused on practice. It consists of 3 parts with a large variety of exercises:\r\n\r\nIntroduction to Perl and its characteristics: Perl is a widely used programming language for data processing and task automation. 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 0875", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/MIAT%200875/?format=api" } ], "organisedByTeams": [ { "id": 22, "name": "Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=api" } ], "logo_url": null, "updated_at": "2023-04-06T13:37:15.444074Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/531/?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": "Familiarity with basic Linux commands.", "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": null, "updated_at": "2024-02-08T16:07:26.347245Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 7, "hoursHandsOn": 7, "hoursTotal": 14, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/603/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/640/?format=api" ] }, { "id": 303, "name": "Tools for phylogenetic analysis", "shortName": "", "description": "You will learn How to find homologs, make multiple alignments, reconstruct the phylogeny, visualize the tree.\r\n\r\nAt the end of the workshop, you will be able to use web tools to reconstruct accurate phylogenies.\r\n\r\nUnless all participants speak 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