MSPrep--summarization, normalization and diagnostics for processing of mass spectrometry-based metabolomic data
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2014-01-01
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Oxford University Press
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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.
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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. http://doi.org/10.1093/bioinformatics/btt589
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Bioinformatics
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Article