Training materials
Target audience: Computational biologists or computational scientists or data stewards
and Resource type: Jupyter notebook or Metadata Registry or Training materials
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Webinar, Training materials
An introduction to MobiDB
• beginnerintrinsically disordered proteins Databases intrinsic disorder prediction protein sequence -
Webinar, Training materials
Exploring structural and functional annotations of IDPs with DisProt
•• intermediateCuration Databases Ontologies Intrinsically disordered proteins Protein sequence analysis Protein function analysis -
Webinar, Training materials
An introduction to DisProt
• beginnerCuration Databases Ontologies Intrinsically disordered proteins Protein sequence analysis Protein function analysis -
Jupyter notebook
BioExcel Building Blocks (BioBB) Training Material
• beginnermolecular dynamics Docking Modeling life sciences -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing -
examples, Tutorial, Jupyter notebook, API reference
DE-Sim examples, tutorials, and documentation
••• advancedSimulation experiment Computer science Mathematics Computational biology Modelling and simulation Visualisation data-driven modeling Computational modelling discrete-event simulation DES object-oriented programming Python data visualization Data Science -
Slides, Training materials
FAIR Data Stewardship - Data sharing, archiving and publishing
• beginnerData Life Cycle FAIR data management data stewardship data repositories data sharing data publication -
Metadata Registry
FAIRsharing Educational Material
• beginnerDatabases Standards Data Policies FAIR -
course materials, Training materials, Slides
Implementation of Data Management Plans & Data Stewardship in practice
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Jupyter notebook, PDF
Introductory image processing on biological images using python.
• beginner