Training materials
Difficulty level: Intermediate
and Scientific topics: Computer science or Data integration and warehousing or Metabolomics or Open science or Software engineering or Toxicology
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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 -
Poster
3DBionotes COVID-19 Structural Hub: A Central Resource for Validation Information and Refined Models
•• intermediateStructural biology Data visualisation Data integration and warehousing Data mining covid-19 Protein models electron microscopy data annotation Web Services (5596) Quality Validation Cryo-Electron Microscopy -
Slides, course materials, hands-on tutorial
Organisation and utilisation of hologenomic datasets – course notes
•• intermediateMetatranscriptomics Sample collections Metabolomics Metagenomics hologenomics metagenomics MGnify Workshop