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

Yoann Gloaguen, Fraser Morton, Rónán Daly, Ross Gurden, Simon Rogers, Joe Wandy, David Wilson, Michael Barrett, Karl Burgess

Research output: Contribution to journalArticlepeer-review

Abstract

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.
Original languageEnglish
Pages (from-to)4007-4009
Number of pages3
JournalBioinformatics
Volume33
Issue number24
DOIs
Publication statusPublished - 14 Aug 2017

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