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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| Principais autores: | , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BMC
2023-05-01
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| Series: | Journal of Cheminformatics |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1186/s13321-023-00724-w |
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