Guide to Successful Metabolomics Study Design

​Incorporating metabolomics into research workflows can offer insights for a variety of applications throughout the life sciences, including atherosclerosis, Alzheimer’s disease, cardiovascular diseases, diabetes, age-related macular degeneration, infertility, osteoporosis, multiple sclerosis, Niemann-Pick disease type C, Parkinson’s disease, and cancers.

This guide will equip you with the knowledge necessary to leverage metabolomics in your labs and workflows. In particular, we will cover how to select metabolites, targeted versus untargeted analysis, appropriate technology and instrumentation, study design, control versus variant analysis, sample types, sample preparation, and effective analysis of metabolomics results.

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