Training materials
Target audience: Any student, postdoc or RA who has an interest ... or Curators or Ontologists or life scientists or modelers
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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 -
Video
Metabolic Control Analysis in COPASI
• beginnerSimulation experiment Systems biology Modelling and simulation Analysis Visualisation SystemsBiology ComputationalBiology Computational modelling Kinetic modeling COPASI -
Video
Steady State Analysis in COPASI
• beginnerSystems biology Computational biology Simulation experiment Modelling and simulation Visualisation -
Video
Time Course Simulation in COPASI
• beginnerSimulation experiment Modelling and simulation Visualisation SystemsBiology ComputationalBiology Computational modelling Kinetic modeling COPASI -
Video
Model Creation using COPASI
• beginnerSimulation experiment Modelling and simulation Visualisation SystemsBiology ComputationalBiology Computational modelling modeling Biomodelling Model Kinetic modeling COPASI -
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 -
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 -
Presentation
Reproducible data analysis with RStudio, github and Rmarkdown