metID: an R package for automatable compound annotation for LC−MS-based data

SUMMARY: Accurate and efficient compound annotation is a long-standing challenge for LC–MS-based data (e.g. untargeted metabolomics and exposomics). Substantial efforts have been devoted to overcoming this obstacle, whereas current tools are limited by the sources of spectral information used (in-ho...

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Detalles Bibliográficos
Autores principales: Shen, Xiaotao, Wu, Si, Liang, Liang, Chen, Songjie, Contrepois, Kévin, Zhu, Zheng-Jiang, Snyder, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722759/
https://www.ncbi.nlm.nih.gov/pubmed/34432001
http://dx.doi.org/10.1093/bioinformatics/btab583

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722759/
https://www.ncbi.nlm.nih.gov/pubmed/34432001
http://dx.doi.org/10.1093/bioinformatics/btab583

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