Training materials
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Presentation, Video
E-PAN Workshop 2026 | Enhancing Pan-Genome Analysis in Plants
• BeginnerPlant biology Genomics FAIR data Pangenome Visualization Quality Control Data sharing plant science -
Tutorial
EMO-BON Metagenomics: From Backend Integration to Frontend Processing
•• IntermediateSPARQL fuseki Python -
Course materials
Applied Metagenomics - AM22 (October 11-14, 2022)
•• IntermediateMetagenomics Metagenomic sequencing Metagenomics metagenomics Genomic data Genomic sequences genomics Taxonomic concepts Genome assembly Genome Assembly … -
Course materials
Applied Metagenomics - AM21 (November 1-5, 2021)
•• IntermediateMetagenomics Metagenomic sequencing Metagenomics metagenomics Genomic data Genomic sequences genomics Taxonomic concepts Genome assembly Genome Assembly … -
Documentation, Coding, Bioinformatics, Scripts, examples, e-learning
How to use pydna, a python library to plan and simulate DNA assembly, cloning and genome engineering
• BeginnerSynthetic biology Bioinformatics Molecular biology Genetic engineering Metabolic engineering Genetics Synthetic Biology Genetic Engineering Molecular biology Cloning … -
presentation
Computational Tools and Resources Workshop
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presentation
Ready for BioData Management? Intensive slide deck
Data management RDM RDMkit data stewardship Data Stewardship Wizard FAIR
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Toolkit
ELIXIR’s Impact Toolkit, to support performance and impact evaluation in a distributed data research infrastructure for the life sciences
• BeginnerImpact Research Infrastructure Monitoring Indicator Evaluation Sustainability -
Course materials, Training materials
"Ready for BioData Management?" Training Data Stewards for Life Sciences
Data management Data Steward Data management research data management FAIR FAIR Research Training (Training) Open science Open data RDM
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Training materials
BioData.pt | ELIXIR PT Training Data Stewards for Life Sciences - Intro Course
• BeginnerFAIR data Open science Data management Data management plan data-science data-analysis Data Integration training open science data FAIRness …