Skip to content

Latest commit

 

History

History
103 lines (58 loc) · 3.6 KB

main_metabolomics.md

File metadata and controls

103 lines (58 loc) · 3.6 KB
layout permalink title header1 header2 image keywords description instructors length
workshop_main_2day
/MET_2023
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

Coming soon!


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

Module 8: Integrating Metabolomics with Other Omics

Jeff Xia

Module 8 Lecture Slides

Resources

Webserver Assignments Per User

Module 3 Student Groups

GC-MS Datasets

NMR Datasets

LC-MS Datasets

Link to upload results