MSPrep--summarization, normalization and diagnostics for processing of mass spectrometry-based metabolomic data

Bioinformatics. 2014 Jan 1;30(1):133-4. doi: 10.1093/bioinformatics/btt589. Epub 2013 Oct 29.

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/msprep

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Algorithms
  • Databases, Factual
  • Mass Spectrometry*
  • Metabolomics / methods*
  • Software*