Training materials
Difficulty level: Intermediate
and Keywords: Biology or ComputationalBiology or Data analysis or GraphDB
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e-learning
Explore and Visualize Your Data with Python
•• intermediateData visualisation Bioinformatics Python Data analysis -
hands-on tutorial
Bulk RNASeq analysis
•• intermediateTranscriptomics Gene expression Differential gene expression profiling Expression analysis Data analysis NGS RNASeq transcriptomics -
Video, Training materials, E-learning
Validate Graph Data with SHACL
•• intermediateMedical informatics FAIR data Data management Computer science Validation Data handling Clinical data SHACL Data validation RDF Knowledge graph GraphDB RDF graph validation -
Video, Training materials, Mock data, E-learning
How to use Python and R with RDF Data
•• intermediateComputer science Data management FAIR data Medical informatics Query and retrieval Data handling Data retrieval Clinical data SPARQL Query data RDF Knowledge graph Python R GraphDB -
Video
Data Gravity in the Life Sciences: Lessons learned from the HCA and other federated data projects
•• intermediateData architecture, analysis and design Cloud computing Data analysis Standards Translational research -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing -
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 -
Documentation, Exercise, Handout, Scripts
PPB18 - Programming in Python for Biologists (2018)
•• intermediateData retrieval Data handling Bioinformatics Biology Biological databases -
Documentation
InterMine operator manual
•• intermediateData integration Data analysis Data publishing FAIR