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Bioinformatics. 2012 Apr 1;28(7):1048-9. doi: 10.1093/bioinformatics/bts069. Epub 2012 Feb 4.

IDEOM: an Excel interface for analysis of LC-MS-based metabolomics data.

Author information

1
Institute of Infection, Immunity and Inflammation, Wellcome Trust Centre for Molecular Parasitology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8TA, UK.

Abstract

SUMMARY:

The application of emerging metabolomics technologies to the comprehensive investigation of cellular biochemistry has been limited by bottlenecks in data processing, particularly noise filtering and metabolite identification. IDEOM provides a user-friendly data processing application that automates filtering and identification of metabolite peaks, paying particular attention to common sources of noise and false identifications generated by liquid chromatography-mass spectrometry (LC-MS) platforms. Building on advanced processing tools such as mzMatch and XCMS, it allows users to run a comprehensive pipeline for data analysis and visualization from a graphical user interface within Microsoft Excel, a familiar program for most biological scientists.

AVAILABILITY AND IMPLEMENTATION:

IDEOM is provided free of charge at http://mzmatch.sourceforge.net/ideom.html, as a macro-enabled spreadsheet (.xlsb). Implementation requires Microsoft Excel (2007 or later). R is also required for full functionality.

CONTACT:

michael.barrett@glasgow.ac.uk

SUPPLEMENTARY INFORMATION:

Supplementary data are available at Bioinformatics online.

PMID:
22308147
DOI:
10.1093/bioinformatics/bts069
[Indexed for MEDLINE]

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