IDEOM: an Excel Interface for Analysis of LC-MS-based Metabolomics Data

Overview

Journal Bioinformatics

Publisher Oxford University Press

Specialty Biology

Date 2012 Feb 7

PMID 22308147

Citations 170

Authors

Darren J Creek

Andris Jankevics

Karl E V Burgess

Rainer Breitling

Michael P Barrett

Affiliations

Soon will be listed here.

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.

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