Training materials
Difficulty level: Intermediate
and Contributors: Alvaro Gonzalez or Anna Fotaki or Daniel Blankenberg or Donny Vrins or Krzysztof Poterlowicz or Nene Barry
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hands-on tutorial
Sequence data submission to ENA
•• intermediateFAIR ENA sequence datasets -
hands-on tutorial
Making clinical datasets FAIR
•• intermediateFAIR clinical data -
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
Peptide Library Data Analysis
•• intermediateProteomics -
hands-on tutorial
Hands-on for 'Machine Learning Modeling of Anticancer Peptides' tutorial
•• intermediateproteomics ML cancer -
hands-on tutorial
Hands-on for 'Python - Subprocess' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Globbing' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Python - Argparse
•• intermediateSoftware engineering Foundations of Data Science -
hands-on tutorial
Make & Snakemake
•• intermediateSoftware engineering Foundations of Data Science -
Video
A common framework for designing portable federated pipelines
•• intermediateData architecture, analysis and design data access federated data analysis