Addressing big data challenges in mass spectrometry-based metabolomics

Advancements in computer science and software engineering have greatly facilitated mass spectrometry (MS)-based untargeted metabolomics. Nowadays, gigabytes of metabolomics data are routinely generated from MS platforms, containing condensed structural and quantitative information from thousands of...

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Veröffentlicht in:	Chemical communications (Cambridge, England) England), 2022-09, Vol.58 (72), p.9979-999
Hauptverfasser:	Guo, Jian, Yu, Huaxu, Xing, Shipei, Huan, Tao
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytical chemistry Annotations Big Data Bioinformatics Computer science Data acquisition Data collection Data processing Feature extraction Mass spectrometry Metabolites Scientific imaging Software engineering Spectroscopy Statistical analysis
Online-Zugang:	Volltext
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