Training materials
Difficulty level: Intermediate
and Scientific topics: Computational biology or Data quality management or Natural language processing or Ontology and terminology or Pathway or network or RNA-Seq
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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 -
Presentation
FAIRtracks and Omnipy – FAIRtracks interoperability story
•• intermediateData submission, annotation, and curation Data identity and mapping Data quality management Data governance Workflows Data handling -
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 -
Tutorial
Tutorial on CARNIVAL
•• intermediateMolecular interactions, pathways and networks Gene expression Omics RNA-Seq Network analysis RNA-Seq analysis HPC Signaling RNAseq, transcriptomics -
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 -
Bioinformatics Summer School 2019
•• intermediateProteomics RNA-Seq Omics Statistics and probability Data handling -
course materials
Single-cell RNA-seq data analysis with R 2022
•• intermediateRNA-Seq RNA-Seq Single Cell technologies scRNA-seq -
Text-mining exercises
•• intermediateMicrobial ecology Metagenomics Natural language processing Data mining
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