title: MSPrep--summarization, normalization and diagnostics for processing of mass spectrometry-based metabolomic data.
abstract: BACKGROUND
  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.
  
  
  BACKGROUND
  http://www.sourceforge.net/projects/msprep
authors.affiliation: Department of Biostatistics and Informatics, University of Colorado School of Public Health, Aurora, CO, Department of Immunology, National Jewish Health Center, Denver, CO, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN and Department of Pulmonary Medicine, National Jewish Health Center, Denver, CO, USA.
authors.forename: Grant
authors.initials: G
authors.lastname: Hughes
authors.forename: Charmion
authors.initials: C
authors.lastname: Cruickshank-Quinn
authors.forename: Richard
authors.initials: R
authors.lastname: Reisdorph
authors.forename: Sharon
authors.initials: S
authors.lastname: Lutz
authors.forename: Irina
authors.initials: I
authors.lastname: Petrache
authors.forename: Nichole
authors.initials: N
authors.lastname: Reisdorph
authors.forename: Russell
authors.initials: R
authors.lastname: Bowler
authors.forename: Katerina
authors.initials: K
authors.lastname: Kechris
mesh_terms: D000465:Algorithms; D016208:Databases, Factual; D013058:Mass Spectrometry; D055432:Metabolomics / Q000379:methods*; D012984:Software