Training materials
Difficulty level: Beginner
and Keywords: Data management planning or Computational modelling or Databases or algorithms or computer-science or services and resources
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Introduction to Viral Bioinformatics
• beginnergenes and genomes infectious disease medicine and health services and resources training -
e-learning
ISMARA: A tool to infer genome-wide regulatory interactions
• beginnerSystems biology Gene regulation Transcription factors and regulatory sites Computational modelling -
Gene Expression made Useful Easily: Tools and Database of Bgee
• beginnerBgee genes and genomes evolution and phylogeny services and resources comparative genomics database curation data management data visualisation transcriptomics training marc robinson-rechavi group -
Discover ViralZone
• beginnergenes and genomes infectious disease medicine and health services and resources training alan bridge group -
A guided tour through Cellosaurus - now on YouTube
• beginnerbasic research database curation reproducibility services and resources training amos bairoch & lydie lane group -
Video
Parameter Scanning and Sampling in COPASI
• beginnerSimulation experiment Modelling and simulation Analysis Visualisation SystemsBiology ComputationalBiology Computational modelling Kinetic modeling COPASI -
Video
Metabolic Control Analysis in COPASI
• beginnerSimulation experiment Systems biology Modelling and simulation Analysis Visualisation SystemsBiology ComputationalBiology Computational modelling Kinetic modeling COPASI -
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 -
Webinar, Training materials
An introduction to MobiDB
• beginnerintrinsically disordered proteins Databases intrinsic disorder prediction protein sequence