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

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 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.

[1]  Joshua D. Knowles,et al.  Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry , 2011, Nature Protocols.

[2]  G. Siuzdak,et al.  XCMS Online: a web-based platform to process untargeted metabolomic data. , 2012, Analytical chemistry.

[3]  Karsten Suhre,et al.  MassTRIX: mass translator into pathways , 2008, Nucleic Acids Res..

[4]  R. D'ari Systematic functional analysis of the yeast genome , 1998 .

[5]  David S. Wishart,et al.  MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis , 2012, Nucleic Acids Res..

[6]  R. Breitling,et al.  PeakML/mzMatch: a file format, Java library, R library, and tool-chain for mass spectrometry data analysis. , 2011, Analytical chemistry.

[7]  David P Leader,et al.  Pathos: A web facility that uses metabolic maps to display experimental changes in metabolites identified by mass spectrometry , 2011, Rapid communications in mass spectrometry : RCM.

[8]  Michael P. Barrett,et al.  MetExplore: a web server to link metabolomic experiments and genome-scale metabolic networks , 2010, Nucleic Acids Res..

[9]  Susumu Goto,et al.  Data, information, knowledge and principle: back to metabolism in KEGG , 2013, Nucleic Acids Res..

[10]  R. Abagyan,et al.  XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification. , 2006, Analytical chemistry.

[11]  Daniel Jacob,et al.  Workflow4Metabolomics: a collaborative research infrastructure for computational metabolomics , 2014, Bioinform..