Training materials
Difficulty level: Intermediate
and Scientific topics: Protein modifications or Data submission, annotation, and curation or Software engineering or Data integration and warehousing or FAIR data
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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
Hands-on for 'Python - Coding Style' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Virtual Environments For Software Development' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Type annotations' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Conda Environments For Software Development' tutorial
•• intermediateSoftware engineering data-science conda jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Testing' tutorial
•• intermediateSoftware engineering data-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 -
hands-on tutorial
Hands-on for 'Python - Subprocess' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook