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Improve Shiny and RStudio integration within Galaxy using Galaxy Interactive Environment
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PDF
PacBio de novo genome assembly - Hands on exercise
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Variants: alignment and pre-treatment; GATK
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Initiation to R programming and descriptive statistics
• beginnerR-programming Descriptive statistics Statistics Bioinformatics -
Galaxy Visualisation - Tutorial
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Getting started with Bioschemas
• beginnerBioschemas Standards -
DNA - seq Bioinformatics Analysis
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Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing -
Chip-seq: Pattern Analysis tutorial
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Training materials
Plant Phenotyping Data managment (MIAPPE)
• beginnerPhenomics Plant biology Data management Annotation Data formatting Plant Phenotyping Data-format data sharing -
IFB Shiny training
•• intermediateR-programming Reproducible Science -
Online material, online course
Workshop on Resources for Plant Sciences, 2023
•• intermediatePlant biology service bundle eLearning EeLP plant science Data Visualization Gene Ontology Knowledge graph MIAPPE -
Webinar, Slides, Video
WheatIS DataDiscovery webinar
• beginnerData management wheat information system data discovery -
Variant Filtering
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Sequencing 6000 chloroplast genomes : the PhyloAlps project
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Prototyping the new PSICQUIC 2.0
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RGP finder: prediction of Genomic Islands
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Chip-seq: Functional Annotation tutorial
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MG-RAST — experiences from processing a quarter million metagenomic data sets
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bio.tools & EDAM drop-in hackathon & discussions
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PDF
Genome assembly with long reads
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200 billion sequences and counting: analysis, discovery and exploration of datasets with EBI Metagenomics
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Multiple Comparative Metagenomics using Multiset k-mer Counting
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From Samples to Data : Assuring Downstream Analysis with Upstream Planning
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Exploiting collisions between DNA molecules to characterize the genomic structures of complex communities
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NGS data exploration with the MicroScope Platform
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Gut metagenomics in cardiometabolic diseases
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Connecting Galaxy to a compute cluster
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New perspectives on nitrite-oxidizing bacteria - linking genomes to physiology
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ETBII 2023
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IFB French Institute of Bioinformatics
The French Institute of Bioinformatics (CNRS IFB) is a national service infrastructure in bioinformatics. IFB’s principal mission is to provide basic services and resources in bioinformatics for scientists and engineers working in the life sciences. IFB is the French node of the European research...
144 training materials1 event (472 past events)IFB French Institute of Bioinformatics http://www.france-bioinformatique.fr https://861596.fd6au1zn.asia/content_providers/ifb-french-institute-of-bioinformatics The French Institute of Bioinformatics (CNRS IFB) is a national service infrastructure in bioinformatics. IFB’s principal mission is to provide basic services and resources in bioinformatics for scientists and engineers working in the life sciences. IFB is the French node of the European research infrastructure, ELIXIR. /system/content_providers/images/000/000/049/original/logo-ifb-couleur.svg?1663599376 -
Workflow4metabolomics
In the context of collaboration between metabolomics (MetaboHUB French infrastructure) and bioinformatics platforms (IFB: Institut Français de Bioinformatique), we have developed full LC/MS, FIA-MS, GC/MS and NMR pipelines using Galaxy framework for data analysis including preprocessing,...
Workflow4metabolomics https://workflow4metabolomics.org https://861596.fd6au1zn.asia/content_providers/workflow4metaolomics In the context of collaboration between metabolomics (MetaboHUB French infrastructure) and bioinformatics platforms (IFB: Institut Français de Bioinformatique), we have developed full LC/MS, FIA-MS, GC/MS and NMR pipelines using Galaxy framework for data analysis including preprocessing, normalization, quality control, statistical analysis (Univariate, Multivariate PLS/OPLS) and annotation steps. Those modular and extensible workflows are composed with existing components (XCMS and CAMERA packages, etc.) but also a whole suite of complementary homemade tools. This implementation is accessible through a web interface, which guarantees the parameters completeness. The advanced features of Galaxy have made possible the integration of components from different sources and of different types. Thus, an extensible Virtual Research Environment (VRE) is offered to metabolomics communities (platforms, end users, etc.), and enables preconfigured workflows sharing for new users, but also experts in the field. /system/content_providers/images/000/000/659/original/17082156.png?1667905557
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