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PiMP my metabolome: an integrated, web-based tool for LC-MS metabolomics data

SUMMARY: The Polyomics integrated Metabolomics Pipeline (PiMP) fulfils an unmet need in metabolomics data analysis. PiMP offers automated and user-friendly analysis from mass spectrometry data acquisition to biological interpretation. Our key innovations are the Summary Page, which provides a simple...

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Detalles Bibliográficos
Autores principales: Gloaguen, Yoann, Morton, Fraser, Daly, Rónán, Gurden, Ross, Rogers, Simon, Wandy, Joe, Wilson, David, Barrett, Michael, Burgess, Karl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860087/
https://www.ncbi.nlm.nih.gov/pubmed/28961954
http://dx.doi.org/10.1093/bioinformatics/btx499
Descripción
Sumario:SUMMARY: The Polyomics integrated Metabolomics Pipeline (PiMP) fulfils an unmet need in metabolomics data analysis. PiMP offers automated and user-friendly analysis from mass spectrometry data acquisition to biological interpretation. Our key innovations are the Summary Page, which provides a simple overview of the experiment in the format of a scientific paper, containing the key findings of the experiment along with associated metadata; and the Metabolite Page, which provides a list of each metabolite accompanied by ‘evidence cards’, which provide a variety of criteria behind metabolite annotation including peak shapes, intensities in different sample groups and database information. AVAILABILITY AND IMPLEMENTATION: PiMP is available at http://polyomics.mvls.gla.ac.uk, and access is freely available on request. 50 GB of space is allocated for data storage, with unrestricted number of samples and analyses per user. Source code is available at https://github.com/RonanDaly/pimp and licensed under the GPL. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.