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

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, a computa...

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Detalles Bibliográficos
Autores principales: Kontou, Eftychia E., Walter, Axel, Alka, Oliver, Pfeuffer, Julianus, Sachsenberg, Timo, Mohite, Omkar S., Nuhamunada, Matin, Kohlbacher, Oliver, Weber, Tilmann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176759/
https://www.ncbi.nlm.nih.gov/pubmed/37173725
http://dx.doi.org/10.1186/s13321-023-00724-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176759/
https://www.ncbi.nlm.nih.gov/pubmed/37173725
http://dx.doi.org/10.1186/s13321-023-00724-w

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