Training materials
Difficulty level: Intermediate
and Scientific topics: Bioimaging or Data quality management or FAIR data or Mass spectrometry or Metabolomics or Software engineering
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Presentation
FAIRtracks and Omnipy – FAIRtracks interoperability story
•• intermediateData submission, annotation, and curation Data identity and mapping Data quality management Data governance Workflows Data handling -
Learning pathway
Version control with Git
•• intermediateSoftware engineering Open science Version control -
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 -
hands-on tutorial
Mass spectrometry: GC-MS data processing (with XCMS, RAMClustR, RIAssigner, and matchms)
•• intermediateMetabolomics -
hands-on tutorial
Hands-on for 'Python - Coding Style' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Virtual Environments For Software Development' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Type annotations' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Conda Environments For Software Development' tutorial
•• intermediatedata-science conda jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Testing' tutorial
•• intermediatedata-science jupyter-notebook -
Slides, course materials, hands-on tutorial
Organisation and utilisation of hologenomic datasets – course notes
•• intermediateMetatranscriptomics Sample collections Metabolomics Metagenomics hologenomics metagenomics MGnify Workshop