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Metabolomics 2023
Workshop Pages for Students
Metabolomics 2023
/site_images/CBW_metabolomics_icon.jpg
metabolome-focused experiments, analyzing metabolomic data, metabolome
Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.
David Wishart, Jeff Xia
2 days

Welcome

Welcome to Informatics and Statistics for Metabolomics 2023.

The course schedule can be found here

Meet your faculty here


Pre-Workshop Materials

Pre-work including programs to install can be found here


Class Photo

Metabolomics Analysis Class of 2023


Day 1

Welcome

Nia Hughes

Module 1: Introduction to Metabolomics

David Wishart

Module 1 Lecture Slides

Module 2: Targeted, Quantitative Metabolomics

David Wishart

Module 2 Lecture Slides

Module 3 (Lab): Quantitative Metabolomics

David Wishart

Module 3 Lab Slides

Module 4: Databases for Biological Interpretation

David Wishart

Module 4 Lecture Slides

Day 2

Module 5: Backgrounder in Omics Data Science

Jeff Xia

Module 5 Lecture Slides

Module 6: Data Analytics for Untargeted Metabolomics

Jeff Xia

Module 6 Lecture Slides

Module 7 (Lab): Metabolomics Data Analysis using MetaboAnalyst 5.0

Jeff Xia

Module 7 Lab Slides
LC-MS lung cancer data
GC-MS sleep apnea data
NMR sheep pregnancy data

Module 8: Integrating Metabolomics with Other Omics

Jeff Xia

Module 8 Lecture Slides

Resources

GC-MS Datasets

NMR Datasets

LC-MS Datasets