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PyKrev:用于分析复杂混合 FT-MS 数据的 Python 库。

PyKrev: A Python Library for the Analysis of Complex Mixture FT-MS Data.

机构信息

EaSTCHEM School of Chemistry, University of Edinburgh, Joseph Black Building, David Brewster Road, Edinburgh EH9 3JF, United Kingdom.

Environmental and Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.

出版信息

J Am Soc Mass Spectrom. 2021 May 5;32(5):1263-1267. doi: 10.1021/jasms.1c00064. Epub 2021 Apr 27.

Abstract

In this paper, we present PyKrev, a Python library for the analysis of complex mixture Fourier transform mass spectrometry (FT-MS) data. PyKrev is a comprehensive suite of tools for analysis and visualization of FT-MS data after formula assignment has been performed. These comprise formula manipulation and calculation of chemical properties, intersection analysis between multiple lists of formulas, calculation of chemical diversity, assignment of compound classes to formulas, multivariate analysis, and a variety of visualization tools producing van Krevelen diagrams, class histograms, PCA score, and loading plots, biplots, scree plots, and UpSet plots. The library is showcased through analysis of hot water green tea extracts and Scotch whisky FT-ion cyclotron resonance-MS data sets. PyKrev addresses the lack of a single, cohesive toolset for researchers to perform FT-MS analysis in the Python programming environment encompassing the most recent data analysis techniques used in the field.

摘要

本文介绍了 PyKrev,这是一个用于分析复杂混合物傅里叶变换质谱(FT-MS)数据的 Python 库。PyKrev 是一套全面的工具,用于在进行公式分配后分析和可视化 FT-MS 数据。这些工具包括公式操作和化学性质计算、多个公式列表之间的交集分析、化学多样性计算、化合物类别到公式的分配、多元分析以及各种可视化工具,可生成范·克里夫伦图、类别直方图、PCA 得分和加载图、双标图、 scree 图和 UpSet 图。该库通过分析热水绿茶提取物和苏格兰威士忌 FT-离子回旋共振-MS 数据集进行展示。PyKrev 解决了缺乏单一、统一的工具集的问题,使研究人员能够在 Python 编程环境中执行 FT-MS 分析,其中包括该领域使用的最新数据分析技术。

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