MUSCLE: Automated multi-objective evolutionary optimization of targeted LC-MS/MS analysis

18Citations
Citations of this article
44Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Summary: Developing liquid chromatography tandem mass spectrometry (LC-MS/MS) analyses of (bio)chemicals is both time consuming and challenging, largely because of the large number of LC and MS instrument parameters that need to be optimized. This bottleneck significantly impedes our ability to establish new (bio)analytical methods in fields such as pharmacology, metabolomics and pesticide research. We report the development of a multi-platform, user-friendly software tool MUSCLE (multi-platform unbiased optimization of spectrometry via closed-loop experimentation) for the robust and fully automated multi-objective optimization of targeted LC-MS/MS analysis. MUSCLE shortened the analysis times and increased the analytical sensitivities of targeted metabolite analysis, which was demonstrated on two different manufacturer's LC-MS/MS instruments. Availability and implementation: Available at http://www.muscleproject.org.

Cite

CITATION STYLE

APA

Bradbury, J., Genta-Jouve, G., Allwood, J. W., Dunn, W. B., Goodacre, R., Knowles, J. D., … Viant, M. R. (2015). MUSCLE: Automated multi-objective evolutionary optimization of targeted LC-MS/MS analysis. Bioinformatics, 31(6), 975–977. https://doi.org/10.1093/bioinformatics/btu740

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free