Training materials
Resource type: API reference or Coding or Computer Software or E-Learning or Slideshow or Tool or hackathon
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E-Learning, Video
Experimental techniques for the characterization of Intrinsically Disordered Proteins
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Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science
•• intermediateBioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science Machine Learning -
Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education
R for Beginners
• beginnerBioinformatics Computational biology Computer science Coding Programming -
Tool, How-to guide
Assessing the performance and impact of research infrastructures – An annotated bibliography
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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 -
E-Learning, Training materials
Biology meets Programming - Introduction to Bioinformatics using Python
• beginnerBioinformatics Biology Python Python biologists Programming Data Analysis Sequence Analysis -
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 -
Slideshow, Training materials
Prediction of protein structures and complexes with AlphaFold on the HPC
•• intermediateProtein structure analysis Machine learning Structure prediction Structure visualisation Multiple sequence alignment AlphaFold Database (13181) -
Presentation, hackathon
ELN basics training materials
• beginner -
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
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