A scalable approach to absolute quantitation in metabolomics

In this webinar we will explore the importance of metabolomics in disease research, and the challenges associated with LC-MS based metabolomics studies.

10/31/2024

sponsored by Matterworks

In this webinar we will explore the importance of metabolomics in disease research, and the challenges associated with LC-MS based metabolomics studies. We will also introduce Pyxis, a scalable, machine learning-based approach to absolute quantitation of metabolites across various matrices, and potential applications in research and the clinic.

Learning Objectives

The application of quantitation in understanding metabolite functions in biological systems.

The experimental requirements of absolute and relative quantitation of metabolites along with their benefits and limitations.

Introduction of Pyxis, a method that enables scalable absolute quantitation of metabolites without relying on isotopically labeled standards.

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