Training materials
Difficulty level: Intermediate
and Scientific topics: Toxicology or Data mining or Computational biology
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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 -
Tutorial, Presentation
Materials from 'Introduction to High Performance Computing for Life Scientists' course
•• intermediateComputational biology HPC GPU parallel computing -
e-learning
High Performance Computing in Life Sciences
•• intermediateComputational biology High performance computing Data storage -
Poster
3DBionotes COVID-19 Structural Hub: A Central Resource for Validation Information and Refined Models
•• intermediateStructural biology Data visualisation Data integration and warehousing Data mining covid-19 Protein models electron microscopy data annotation Web Services (5596) Quality Validation Cryo-Electron Microscopy -
Tutorial, Documentation
BioSimulators tutorial and help
•• intermediateSystems biology Computational biology Simulation experiment Modelling and simulation Modeling biomodel dynamic simulations COMBINE OMEX SED-ML SBML BNGL -
Documentation
BioSimulations tutorial and help
•• intermediateComputational biology Systems biology Simulation experiment Visualisation Modelling and simulation SystemsBiology ComputationalBiology Computational modelling Modeling Biomodelling Model Kinetic modeling SED-ML COMBINE -
Tutorial
Adding nanomaterial data
•• intermediateToxicology Database management ontologies enanomapper RDF -
Text-mining exercises
•• intermediateMicrobial ecology Metagenomics Natural language processing Data mining