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


METHODS
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.


BACKGROUND
michael.barrett@glasgow.ac.uk


BACKGROUND
Supplementary data are available at Bioinformatics online.
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.
Darren J
DJ
Creek
Andris
A
Jankevics
Karl E V
KE
Burgess
Rainer
R
Breitling
Michael P
MP
Barrett
D002853:Chromatography, Liquid / Q000379:methods*; D019295:Computational Biology / Q000379:methods*; D016208:Databases, Factual; D013058:Mass Spectrometry / Q000379:methods*; D055432:Metabolomics; D012984:Software; D014584:User-Computer Interface