Using high-throughput technologies, life science researchers can identify and characterize all the small molecules or metabolites in a given cell, tissue, or organism. The CBW 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 metabolomic databases, and exploring chemical databases. Hands-on practical tutorials using various data sets and tools will assist participants in learning metabolomics analysis techniques.
Participants will gain practical experience and skills to be able to:
- Design appropriate metabolome-focused experiments
- Understand the advantages and limitations of metabolomic data analysis
- Devise an appropriate bioinformatics workflow for processing and analyzing metabolomic data
- Apply appropriate statistics to undertake rigorous data analysis
- Visualize datasets to gain intuitive insights into the composition and/or activity of their metabolome
This course is intended for graduate students, post-doctoral fellows, clinical fellows and investigators who are interested in learning about both bioinformatic and cheminformatic tools to analyze and interpret metabolomics data.
You will also require your own laptop computer. Minimum requirements: 1024×768 screen resolution, 1.5GHz CPU, 2GB RAM, 10GB free disk space, recent versions of Windows, Mac OS X or Linux (Most computers purchased in the past 3-4 years likely meet these requirements). If you do not have access to your own computer, please contact firstname.lastname@example.org for other possible options.
This workshop requires participants to complete pre-workshop tasks and readings.
Module 1: Introduction to Metabolomics (David Wishart)
Module 2: Metabolite Identification and Annotation (David Wishart)
Lab Practical: Compound ID and Quantification
Module 3: Databases for Chemical, Spectral, and Biological Data (David Wishart)
Module 4: Backgrounder in Statistical Methods (Jeff Xia)
Module 5: MetaboAnalyst (Jeff Xia)
Lab Practical: Metabolomic Data Analysis using MetaboAnalyst 3.0
Module 6: Future of Metabolomics(David Wishart)
Duration: 2 days
Start: Jun 15, 2020
End: Jun 16, 2020
Course Mode: Online
Status: Registration Closed
Open Access Content:
Canadian Bioinformatics Workshops promotes open access. Past workshop content is available under a Creative Commons License.