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

delete2021-04-27
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OA
AI
E
Ezra Kitson
K
Kew, Will
D
Ding Wen
N
Nicholle G. A. Bell *
DOI:10.1021/jasms.1c00064delete
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Abstract

Abstract

En 中文
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.
Keywords:
MASS-SPECTRA
FORMULA ASSIGNMENT
AROMATICITY INDEX
SPECIES-DIVERSITY
ORGANIC-MATTER
VISUALIZATION

Journal

Journal of the American Society for Mass Spectrometry cover
Journal of the American Society for Mass Spectrometry
IF:
2.7
Papers:
7.1K
Citations:
1.1W

Organization

U
united states department of energy (doe)
Scholars:
11.3W
Papers: 9.6W
Citations: 246
U
University of Edinburgh
Scholars:
5.2W
Papers: 4.6W
Citations: 71