Hughes, GrantCruickshank-Quinn, CharmionReisdorph, RichardLutz, SharonPetrache, IrinaReisdorph, NicholeBowler, NicholeBowler, RussellKechris, Katerina2016-03-152016-03-152014-01-01Hughes, 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/btt589https://hdl.handle.net/1805/8858MOTIVATION: 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.Publisher PolicyAlgorithmsDatabases, FactualMass SpectrometryMetabolomics -- MethodsSoftwareArticle