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

Darren John Creek, Andris Jankevics, Karl Burgess, Rainer Breitling, Michael P Barrett

Research output: Contribution to journalArticleResearchpeer-review

198 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)1048 - 1049
Number of pages2
JournalBioinformatics
Volume28
Issue number7
DOIs
Publication statusPublished - 2012
Externally publishedYes

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