Training materials
Difficulty level: Intermediate
and Target audience: Any student, postdoc or RA who has an interest ... or PhD students or Research Scientists or biologists or computational scientists or medical 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 -
slides, R Shiny application
Proteomics Data Analysis (PDA)
•• intermediateProteomics proteomics quantitative proteomics -
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 -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing -
e-learning, Video
Webinars and Pills of knowledge Videos on rare vascular diseases (VASCERN)
•• intermediateRare diseases Rare Diseases & Research -
e-learning
Medics4RareDiseases (M4RD) video library
•• intermediateRare diseases Rare Diseases & Research -
Bioinformatics Summer School 2019
•• intermediateProteomics RNA-Seq Omics Statistics and probability Data handling -
Entering and analysing nano safety data
•• intermediateontologies enanomapper
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