Training materials
Difficulty level: Intermediate
and Scientific topics: Bioinformatics or Data architecture, analysis and design or Gene expression and microarray or Local alignment or Metabolomics
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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 -
Tutorial
Tutorial on using existing PerMedCoE Building Blocks and workflows
•• intermediateBioinformatics Workflows Personalised medicine Building blocks -
hands-on tutorial
Mass spectrometry: GC-MS data processing (with XCMS, RAMClustR, RIAssigner, and matchms)
•• intermediateMetabolomics -
e-learning
Explore and Visualize Your Data with Python
•• intermediateData visualisation Bioinformatics Python Data analysis -
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
Mass spectrometry: LC-MS preprocessing with XCMS
•• intermediateMetabolomics -
hands-on tutorial
Mass spectrometry imaging: Finding differential analytes
•• intermediateMetabolomics -
Tutorial
Tutorial on developing Building Blocks
•• intermediateBioinformatics Workflows Personalised medicine HPC building blocks -
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
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