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

Darren J. Creek, Andris Jankevics, Karl E V Burgess, Rainer Breitling, Michael P. Barrett

    Research output: Contribution to journalArticlepeer-review


    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. © The Author 2012. Published by Oxford University Press. All rights reserved.
    Original languageEnglish
    Article numberbts069
    Pages (from-to)1048-1049
    Number of pages1
    Issue number7
    Publication statusPublished - Apr 2012


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