Metabolite Data Processing
Metabolite Data Processing is a computational methodology that transforms raw analytical instrument outputs into biologically meaningful metabolite profiles through steps such as noise reduction, peak detection, alignment, normalization, and annotation within the workflow of metabolomics research.
534
Publications
86.8K
Citations
2.6K
Authors
927
Institutions
Publications per year
2017–2026
226
Parents
534
MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights
Zhiqiang Pang, Jasmine Chong, Guangyan Zhou et al. · Nucleic Acids Research · 2021 · 4.1K citations · Full text
HMDB 4.0: the human metabolome database for 2018
David S. Wishart, Yannick Djoumbou-Feunang, Ana Marcu et al. · Nucleic Acids Research · 2017 · 3.6K citations · Full text
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927

Imperial College London
London, United Kingdom
21 h-index
93 publications
9.5K citations

University of Birmingham
Birmingham, United Kingdom
18 h-index
88 publications
10.1K citations

University of Alberta
Edmonton, Canada
15 h-index
105 publications
210.4K citations

European Bioinformatics Institute
Cambridge, United Kingdom
14 h-index
58 publications
3.9K citations
Scripps Research Institute
San Diego, United States
14 h-index
78 publications
42.9K citations
Max Planck Institute of Molecular Plant Physiology
Potsdam, Germany
13 h-index
38 publications
3.3K citations

McGill University
Montreal, Canada
13 h-index
35 publications
48.3K citations

Washington University in St. Louis
St Louis, United States
12 h-index
33 publications
4.5K citations
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72 publications · 16.5K citations
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51 publications · 4.8K citations
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35 publications · 3.3K citations
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24 publications · 5.7K citations
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20 publications · 1.5K citations
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