Training materials
Target audience: Clinicians or PhD students or computational scientists
and Resource type: Jupyter notebook or PDF or Training materials or Video
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Video, E-learning
FAIRification of external terminologies
• beginnerComputer science Data management FAIR data Medical informatics Ontology and terminology Clinical data Semantic Framework FAIR Terminology Ontology Versioning of Terminology -
Jupyter notebook
BioExcel Building Blocks (BioBB) Training Material
• beginnermolecular dynamics Docking Modeling life sciences -
PDF, slides / presentation
Research Data Management Introduction for researchers
• beginnerFAIR data Data management ELIXIR-CONVERGE DMP data management plan research data management FAIR principles DMP tools DMP templates tools template competency DMP evaluation evaluation on-line e-learning -
Training materials
Using bioinformatics to hunt SARS-CoV-2, its variants & its origins – a practical guide
• beginnerBioinformatics for schools, basic bioinformatics, SARS-CoV-2 pandemic, genome analysis, protein sequence analysis, protein structure analysis, virus variants, spike protein, training material -
Video
Ten simple rules for making training materials FAIR
• beginnerFAIR data Data handling FAIR ELIXIR-CONVERGE -
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 -
course materials, Training materials, Slides
Hands-on workshop in Marine Metagenomics
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Training materials
Summer School 2018 TrainMalta: Epigenomics. Introduction to Unix and R
• beginnerUnix R-programming -
Jupyter notebook, PDF
Introductory image processing on biological images using python.
• beginner
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