Training materials
Difficulty level: Intermediate
and Scientific topics: Mass spectrometry or Computational biology or Metabolomics
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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 -
hands-on tutorial
Hands-on for 'Mass spectrometry: GC-MS data processing (with XCMS, RAMClustR, RIAssigner, and matchms)' tutorial
•• intermediateMetabolomics metabolomics -
e-learning
High Performance Computing in Life Sciences
•• intermediateComputational biology High performance computing Data storage -
Slides, course materials, hands-on tutorial
Organisation and utilisation of hologenomic datasets – course notes
•• intermediateMetatranscriptomics Sample collections Metabolomics Metagenomics hologenomics metagenomics MGnify Workshop -
hands-on tutorial
Hands-on for 'Mass spectrometry: LC-MS preprocessing with XCMS' tutorial
•• intermediateMetabolomics metabolomics -
hands-on tutorial
Hands-on for 'Mass spectrometry imaging: Finding differential analytes' tutorial
•• intermediateMetabolomics metabolomics -
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