Training materials
Difficulty level: Beginner
and Scientific topics: Data acquisition or Data integration and warehousing or Functional genomics or Gene expression and microarray or Genetic variation or Healthcare informatics or MS-based targeted metabolomics or Sample collections
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hands-on tutorial
Bacterial Genome Annotation
• beginnerGenomics Microbiology Gene and protein families Sequence analysis Whole genome sequencing Functional genomics Mobile genetic elements Genome Annotation bacteria gmod illumina jbrowse1 microgalaxy -
slides
Introduction to Variant analysis
• beginnerGenetic variation Variant Analysis -
slides
Introduction to Metabolomics
• beginnerMetabolomics -
slides
Mass spectrometry: LC-MS preprocessing - advanced
• beginnerMetabolomics -
Video
ELIXIR-CONVERGE - The why of research data management
• beginnerData management FAIR data Data submission, annotation, and curation Data security Data integration and warehousing Data Life Cycle Data Steward Data Data access management Data management plan Data managment plan Data handling ELIXIR-CONVERGE -
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 -
hands-on tutorial
Somatic Variant Discovery from WES Data Using Control-FREEC
• beginnerGenetic variation Variant Analysis -
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 -
hands-on tutorial
From NCBI's Sequence Read Archive (SRA) to Galaxy: SARS-CoV-2 variant analysis
• beginnerGenetic variation Variant Analysis covid19 one-health virology