BMC Bioinformatics

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Open Access Highly Access Methodology article

Normalization method for metabolomics data using optimal selection of multiple internal standards

Marko Sysi-Aho1, Mikko Katajamaa2, Laxman Yetukuri1 and Matej Orešič1*

Author Affiliations

1 VTT Technical Research Centre of Finland, Tietotie 2, P.O. Box 1500, FIN-02044 VTT, Espoo, Finland

2 Turku Centre for Biotechnology, Tykistökatu 6, FIN-20521, Turku, Finland

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BMC Bioinformatics 2007, 8:93 doi:10.1186/1471-2105-8-93

Published: 15 March 2007

Additional files

Additional file 1:

Liver lipidomics dataset. The file includes data utilized in demonstration of the normalization method. Data was pre-processed with MZmine software version 0.60, using centroid peak detection, alignment, and de-isotoping steps. The column A shows whether the peaks correspond to internal standards (1) or metabolites (0). Columns B-D are self-descriptive. Columns from E on correspond to different sample runs and corresponding metabolite intensity levels (peak heights). The sample label is coded as < biological sample code>_REP < extraction replicate number> < injection replicate letter>. In the 16-sample repeatability run the sample B was utilized.

Format: XLS Size: 736KB Download file

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