代谢组学
软件
化学
鉴定(生物学)
火星探测计划
注释
计算机科学
数据挖掘
色谱法
人工智能
植物
物理
天文
生物
程序设计语言
作者
Laura Goracci,Paolo Tiberi,Stefano Di Bona,Stefano Bonciarelli,Giovanna Ilaria Passeri,Marta Piroddi,Simone Moretti,Claudia Volpi,Ismael Zamora,Gabriele Cruciani
标识
DOI:10.1021/acs.analchem.3c03620
摘要
Untargeted metabolomics is a growing field, in which recent advances in high-resolution mass spectrometry coupled with liquid chromatography (LC-MS) have facilitated untargeted approaches as a result of improvements in sensitivity, mass accuracy, and resolving power. However, a very large amount of data are generated. Consequently, using computational tools is now mandatory for the in-depth analysis of untargeted metabolomics data. This article describes MetAbolomics ReSearch (MARS), an all-in-one vendor-agnostic graphical user interface-based software applying LC-MS analysis to untargeted metabolomics. All of the analytical steps are described (from instrument data conversion and processing to statistical analysis, annotation/identification, quantification, and preliminary biological interpretation), and tools developed to improve annotation accuracy (e.g., multiple adducts and in-source fragmentation detection, trends across samples, and the MS/MS validator) are highlighted. In addition, MARS allows in-house building of reference databases, to bypass the limits of freely available MS/MS spectra collections. Focusing on the flexibility of the software and its user-friendliness, which are two important features in multipurpose software, MARS could provide new perspectives in untargeted metabolomics data analysis.
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