Training materials
Scientific topics: Data architecture, analysis and design or Data management or Expression data visualisation or Molecular interactions, pathways and networks or Sequence assembly
and Target audience: Ontologists or Research Scientists or Students
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hands-on tutorial
Binning of metagenomic sequencing data
• beginnerMetagenomics Microbial ecology Sequence assembly Microbiome binning metagenomics microgalaxy -
hands-on tutorial
Assembly of metagenomic sequencing data
• beginnerSequence assembly Metagenomics Assembly assembly metagenomics microgalaxy -
hands-on tutorial
ERGA post-assembly QC
• beginnerSequence assembly Assembly -
How to make your messy data usable? / OpenRefine
• beginnerData management Data quality management Data exploration data quality Data validation data cleaning -
Video, E-Learning
SPHN Dataset Template: Build an RDF schema from an Excel file
•• intermediateComputer science Data management FAIR data Medical informatics Semantic artifacts generation Automation Clinical data Semantic Framework FAIR RDF RDF graph generation Dataset template -
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 -
course materials, Online material, Training materials
Cloud-SPAN Genomics
• beginnerBioinformatics Software engineering Genomics DNA polymorphism Workflows Data architecture, analysis and design Shell Command line Cloud computing HPC Data analysis High performance computing -
hands-on tutorial
Large genome assembly and polishing
• beginnerSequence assembly Assembly assembly nanopore polishing -
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 -
Video, E-learning
FAIR principles in practice for health data
• beginnerComputer science Data management FAIR data Medical informatics Standardisation and normalisation Design Clinical data RDF Knowledge graph Semantic framework FAIR Findability Accessibility Interoperability Reusability