xMSanalyzer: automated pipeline for improved feature detection and downstream analysis of large-scale, non-targeted metabolomics data

BACKGROUND: Detection of low abundance metabolites is important for de novo mapping of metabolic pathways related to diet, microbiome or environmental exposures. Multiple algorithms are available to extract m/z features from liquid chromatography-mass spectral data in a conservative manner, which te...

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Detalles Bibliográficos
Autores principales: Uppal, Karan, Soltow, Quinlyn A, Strobel, Frederick H, Pittard, W Stephen, Gernert, Kim M, Yu, Tianwei, Jones, Dean P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3562220/
https://www.ncbi.nlm.nih.gov/pubmed/23323971
http://dx.doi.org/10.1186/1471-2105-14-15

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3562220/
https://www.ncbi.nlm.nih.gov/pubmed/23323971
http://dx.doi.org/10.1186/1471-2105-14-15

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