Training materials
Target audience: postdoctoral researchers or Ontologists or Biologists, Genomicists, Computer Scientists
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Video, E-learning
FAIRification of external terminologies
• beginnerComputer science Data management FAIR data Medical informatics Ontology and terminology Clinical data Semantic Framework FAIR Terminology Ontology Versioning of Terminology -
Video, E-Learning
How to create a concept for the SPHN Dataset
• beginnerComputer science Data management FAIR data Medical informatics Design Standardisation and normalisation Clinical data Semantic Framework FAIR Concepts design Ontology Semantic inheritance SNOMED CT Conceptualization -
Series of videos, Video, youtube video
Introduction to research data management, data management planning and services provided by CSC – IT Center for Science
• beginnerDMP RDM plan research data management data management data management plan ELIXIR-CONVERGE CONVERGE -
e-learning
EJP RD MOOC "Diagnosing Rare Diseases: from the Clinic to Research and back"
•• intermediateRare diseases Rare Diseases & Research -
Video, Slides
Plant Phenotyping Data managment Webinar (MIAPPE)
• beginnerPlant biology Phenomics Data quality management Data submission, annotation, and curation Standardisation and normalisation -
Computer Software, workflow
How to use V-pipe (SARS-CoV-2 data)
• beginnerVirology Genetic variation Workflows Variant calling Alignment Read pre-processing coronavirus NGS bioinformatics Variant-calling -
Tutorial
Constraint-based reconstruction and analysis toolbox tutorials
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Training materials
PLAZA is a plant-oriented online resource for comparative, evolutionary and functional genomics
•• intermediateGenotype and phenotype Phylogenomics Evolutionary biology Comparative genomics Functional genomics Plant biology Comparison Visualisation Annotation plants Plants bioinformatics genomics Visualisation Annotation -
Infectious Disease Genomic Epidemiology 2018 Module 7-Data Visualization
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Infectious Disease Genomic Epidemiology 2018 Module 6-Emerging Pathogen Detection and Identification Using Metagenomics Samples