Training materials
Difficulty level: Intermediate
and Keywords: Data management or FAIR or Machine Learning or Populus-tremula or Standards or proteomics
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hands-on tutorial
FAIRification of an RNAseq dataset
•• intermediateFAIR clinical data -
hands-on tutorial
FAIR data management solutions
•• intermediateFAIR Data management -
hands-on tutorial
Sequence data submission to ENA
•• intermediateFAIR ENA sequence datasets -
hands-on tutorial
Making clinical datasets FAIR
•• intermediateFAIR clinical data -
Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science
•• intermediateBioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science Machine Learning -
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 -
e-learning, Documentation
FAIRplus fellowship programme
•• intermediateFAIR data FAIRness Data management FAIRplus life-sciences -
slides, R Shiny application
Proteomics Data Analysis (PDA)
•• intermediateProteomics proteomics quantitative proteomics -
hands-on tutorial
A tour of Machine Learning
•• intermediateMachine learning Classification Deep Learning Machine Learning -
hands-on tutorial
Hands-on for 'metaQuantome 3: Taxonomy' tutorial
•• intermediateproteomics microbiome