- Overview
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- Course content
- Introduction to Metabolomics
- Experimental design and quality control in metabolomics
- Introduction to LC-MS platforms, data types and quality assessment of data
- Data Reuse
- Galaxy in Metabolomics
- Keynote talk – Lipidomics
- Methods and resources
- Data pre-processing: lecture (XCMS) and practical (XCMS in Galaxy)
- Functional analyses for biological interpretation: lecture and practical
- MS data processing in mzmine
- Statistical analysis (Data modelling)
- Metabolite Identification
- MetaboLights data and workflows: lecture and tutorial
- Pathways with Reactome
- Spatial single-cell metabolomics
- Other Metabolomics materials
- Trainer biographies
- Further learning
- Your feedback