Training materials
Target audience: Anyone interested in data standardization and/o... or Bioinformatics or Post Docs or computational scientists or experimeintal biologist researchers or statisticians
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online course, Online material
Tools and Practices for FAIR Research Software
• beginnerFAIR FAIR Research Software -
course materials, online course, Training materials
Cloud-SPAN Prenomics
• beginnerBioinformatics Software engineering Genomics Query and retrieval Data handling Cloud computing Shell Command line Amazon Web Services genomics HPC Data analysis bioinformatics -
Training materials
Machine Learning & BioStatistics Hackathon 2020
• beginnerMachine learning Statistics and probability Computer science machine learning biostatistics eLearning EeLP -
Jupyter notebook
BioExcel Building Blocks (BioBB) Training Material
• beginnermolecular dynamics Docking Modeling life sciences -
Video
Ten simple rules for making training materials FAIR
• beginnerFAIR data Data handling FAIR ELIXIR-CONVERGE -
Video
Applying data standards to the harmonization of COVID-19 datasets from different sources
• beginnerData integration and warehousing Data integration Standards Standardised vocabulary data harmonization Ontologies -
Video
Useful ontologies for harmonizing cohort data
• beginnerData integration and warehousing Data management Ontology and terminology Ontologies Cohort data data annotation -
Slides
Slides from Data Management Planning Workshop
• beginnerData management Deposition Data retrieval Data handling Data management plan data management -
IFB Shiny training
•• intermediateR-programming Reproducible Science -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing
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