Training materials
Difficulty level: Intermediate
and Scientific topics: Animal study or Data architecture, analysis and design or FAIR data or Lipids or Sample collections or Statistics and probability
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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 -
hands-on tutorial
Supervised Learning with Hyperdimensional Computing
•• intermediateStatistics and probability Statistics and machine learning -
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 'Introduction to Machine Learning using R' tutorial
•• intermediatestatistics interactive-tools -
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 -
PDF, slide deck / presentation
Elaboración de un Plan de Gestión de Datos (DMP): teoria y práctica
•• intermediateFAIR data Data management ELIXIR-CONVERGE DMP data management plan research data management FAIR principles DMP tools DMP templates tools template competency DMP evaluation evaluation on-line Spanish e-learning -
Video
A common framework for designing portable federated pipelines
•• intermediateData architecture, analysis and design data access federated data analysis -
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 -
Bioinformatics Summer School 2019
•• intermediateProteomics RNA-Seq Omics Statistics and probability Data handling