Abstract
Motivation: Although R packages exist for the pre-processing of metabolomic data, they currently do not incorporate additional analysis steps of summarization, filtering and normalization of aligned data. We developed the MSPrep R package to complement other packages by providing these additional steps, implementing a selection of popular normalization algorithms and generating diagnostics to help guide investigators in their analyses. Availability: http://www.sourceforge.net/projects/msprepContact: Supplementary Information: Supplementary materials are available at Bioinformatics online. © 2013 The Author .
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CITATION STYLE
Hughes, G., Cruickshank-Quinn, C., Reisdorph, R., Lutz, S., Petrache, I., Reisdorph, N., … Kechris, K. (2014). MSPrep-Summarization, normalization and diagnostics for processing of mass spectrometry-based metabolomic data. Bioinformatics, 30(1), 133–134. https://doi.org/10.1093/bioinformatics/btt589
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