Metabolomic Analysis and Visualization Engine for LC−MS Data
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Abstract
Metabolomic analysis by liquid chromatography-high-resolution mass spectrometry results in data sets with thousands of features arising from metabolites, fragments, isotopes, and adducts. Here we describe a software package, Metabolomic Analysis and Visualization ENgine (MAVEN), designed for efficient interactive analysis of LC-MS data, including in the presence of isotope labeling. The software contains tools for all aspects of the data analysis process, from feature extraction to pathway-based graphical data display. To facilitate data validation, a machine learning algorithm automatically assesses peak quality. Users interact with raw data primarily in the form of extracted ion chromatograms, which are…
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3Topics & keywords
Topics
Keywords
- Chemistry
- Visualization
- Metabolomics
- Software
- Data visualization
- Raw data
- Data mining
- Computer science
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