Gloaguen, Y. , Morton, F. , Daly, R. , Gurden, R., Rogers, S. , Wandy, J. , Wilson, D., Barrett, M. and Burgess, K. (2017) PiMP my metabolome: An integrated, web-based tool for LC-MS metabolomics data. Bioinformatics, 33(24), pp. 4007-4009. (doi: 10.1093/bioinformatics/btx499) (PMID:28961954) (PMCID:PMC5860087)
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Abstract
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: 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.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Gurden, Mr Ross and Rogers, Dr Simon and Wandy, Dr Joe and Gloaguen, Mr Yoann and Burgess, Dr Karl and Barrett, Professor Michael and Daly, Dr Ronan and Morton, Mr Fraser |
| Authors: | Gloaguen, Y., Morton, F., Daly, R., Gurden, R., Rogers, S., Wandy, J., Wilson, D., Barrett, M., and Burgess, K. |
| College/School: | College of Medical Veterinary and Life Sciences College of Medical Veterinary and Life Sciences > School of Cancer Sciences College of Medical Veterinary and Life Sciences > School of Infection & Immunity |
| Journal Name: | Bioinformatics |
| Publisher: | Oxford University Press |
| ISSN: | 1367-4803 |
| ISSN (Online): | 1460-2059 |
| Published Online: | 14 August 2017 |
| Copyright Holders: | Copyright © 2017 The Authors |
| First Published: | First published in Bioinformatics 33(24): 4007-4009 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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