Training materials
Difficulty level: Intermediate
and Target audience: Anyone wishing to use bioinformatics resources ... or Biomedical Researchers or Computational biologists or Life Scientists or PhD students
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Video, E-Learning
SPHN Dataset Template: Build an RDF schema from an Excel file
•• intermediateComputer science Data management FAIR data Medical informatics Semantic artifacts generation Automation Clinical data Semantic Framework FAIR RDF RDF graph generation Dataset template -
Webinar, Training materials
Exploring structural and functional annotations of IDPs with DisProt
•• intermediateCuration Databases Ontologies Intrinsically disordered proteins Protein sequence analysis Protein function analysis -
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 -
e-learning
EJP RD MOOC "Diagnosing Rare Diseases: from the Clinic to Research and back"
•• intermediateRare diseases Rare Diseases & Research -
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 -
Entering and analysing nano safety data
•• intermediateontologies enanomapper -
Video
Deep Learning using a Convolutional Neural Network
•• intermediateMachine learning
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