2024-W6:1 Spectra Processing/Compound Annotation/Functional Insight/Causal Analysis-MetaboAnalyst 6

Presenters: ▪ Jianguo Xia (McGill University) Description? MetaboAnalyst (https://www.metaboanalyst.ca) is an easy-to-use, comprehensive web platform for metabolomics data analysis, interpretation and multi-omics integration. The tutorial aims to introduce participants to the key features of the most recent release of MetaboAnalyst (version 6.0) with focus on LC-MS spectra processing, compound annotation, advanced statistics, as well as causal analysis by leveraging mGWAS data. During the workshop, participants will be given an overview of the main modules in MetaboAnalyst and most of their main functionalities. Selected example data sets will be processed by the instructor using different MetaboAnalyst features as part of a live demonstration. Workshop participants will continue with a “hands-on” lab session where they will be encouraged to use their own data and to process it following our 2022 Nature Protocols (doi: 0.1038/s41596-022-00710-w) together with new tutorials for more recent modules. Alternately, participants may work with “canned” data sets to explore MetaboAnalyst 6.0 on their own. The instructor (plus TAs) will assist participants in completing these tasks. Workshop Objectives: ▪ To practice raw LC-MS spectra processing, MS2 peak annotation to functional insights ▪ To practice how to use MetaboAnalyst 6.0 to perform statistical analysis with complex metadata ▪ To practice how to link metabolomics data with genomics for causal analysis Learning Outcomes: ▪ Become familiar with basic steps in LC-MS and MS/MS spectral processing and compound annotation ▪ To become familiar with functional analysis for metabolomics data ▪ To become familiar with common strategies for integration with other omics