MetAssign: probabilistic annotation of metabolites from LC–MS data using a Bayesian clustering approach

Motivation: The use of liquid chromatography coupled to mass spectrometry has enabled the high-throughput profiling of the metabolite composition of biological samples. However, the large amount of data obtained can be difficult to analyse and often requires computational processing to understand wh...

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Detalles Bibliográficos
Autores principales: Daly, Rónán, Rogers, Simon, Wandy, Joe, Jankevics, Andris, Burgess, Karl E. V., Breitling, Rainer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173012/
https://www.ncbi.nlm.nih.gov/pubmed/24916385
http://dx.doi.org/10.1093/bioinformatics/btu370

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173012/
https://www.ncbi.nlm.nih.gov/pubmed/24916385
http://dx.doi.org/10.1093/bioinformatics/btu370

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