In this short course, we will cover the fundamental principles of MS, including the different sample introduction types, ionization techniques, and mass analyzer varieties, and how they are used in metabolomics.
This three-part online workshop will give you a good base for analysis in bioinformatics using R. The R programming language is used for analyzing data in RNA-Seq experiments, single cell experiments, microbial community analysis, and more.
In this short course, we discuss the fundamentals of GC-MS, tips for best practices, and aspects of instrumentation, and demonstrate data processing and use of databases.
Enhance your bioinformatics knowledge with this five-part online workshop in Introduction to Python. Python is a programming language that is used widely in the creation of many bioinformatics software.
This short course to provide an overview of metabolomics including realistic goals and considerations for study designs, and metabolite coverage from commercial providers versus core facilities.
