UmetaFlow: an untargeted metabolomics workflow for high-throughput data processing and analysis

UmetaFlow: an untargeted metabolomics workflow for high-throughput data processing and analysis

Abstract Metabolomics experiments generate highly complex datasets, which are time and work-intensive, sometimes even error-prone if inspected manually. Therefore, new methods for automated, fast, reproducible, and accurate data processing and dereplication are required. Here, we present UmetaFlow,...

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Bibliographic Details
Main Authors: Eftychia E. Kontou, Axel Walter, Oliver Alka, Julianus Pfeuffer, Timo Sachsenberg, Omkar S. Mohite, Matin Nuhamunada, Oliver Kohlbacher, Tilmann Weber
Format: Article
Language:English
Published: BMC 2023-05-01
Series:Journal of Cheminformatics
Subjects:
Untargeted metabolomics
Processing
Analysis
High-throughput workflow
Software
Online Access:https://doi.org/10.1186/s13321-023-00724-w

Internet

https://doi.org/10.1186/s13321-023-00724-w

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