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

doi:10.1093/bioinformatics/bts069

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 journal › Article › peer-review

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. © The Author 2012. Published by Oxford University Press. All rights reserved.

Original language	English
Article number	bts069
Pages (from-to)	1048-1049
Number of pages	1
Journal	Bioinformatics
Volume	28
Issue number	7
DOIs	https://doi.org/10.1093/bioinformatics/bts069
Publication status	Published - Apr 2012

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title = "IDEOM: An Excel interface for analysis of LC-MS-based metabolomics data",

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. {\textcopyright} The Author 2012. Published by Oxford University Press. All rights reserved.",

author = "Creek, {Darren J.} and Andris Jankevics and Burgess, {Karl E V} and Rainer Breitling and Barrett, {Michael P.}",

year = "2012",

month = apr,

doi = "10.1093/bioinformatics/bts069",

language = "English",

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AU - Jankevics, Andris

AU - Burgess, Karl E V

AU - Breitling, Rainer

AU - Barrett, Michael P.

PY - 2012/4

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N2 - 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.

AB - 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.

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DO - 10.1093/bioinformatics/bts069

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JO - Bioinformatics

JF - Bioinformatics

IS - 7

M1 - bts069

ER -

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

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