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- Title
IDEOM: an Excel interface for analysis of LC–MS-based metabolomics data.
- Authors
Creek, Darren J.; Jankevics, Andris; Burgess, Karl E. V.; Breitling, Rainer; Barrett, Michael P.
- 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.ukSupplementary Information: Supplementary data are available at Bioinformatics online.
- Subjects
METABOLITE analysis; MICROSOFT Excel (Computer software); CYTOCHEMISTRY; BOTTLENECKS (Manufacturing); ELECTRONIC data processing; LIQUID chromatography-mass spectrometry; BIOINFORMATICS
- Publication
Bioinformatics, 2012, Vol 28, Issue 7, p1048
- ISSN
1367-4803
- Publication type
Article
- DOI
10.1093/bioinformatics/bts069