{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T00:23:12Z","timestamp":1772151792159,"version":"3.50.1"},"reference-count":13,"publisher":"Oxford University Press (OUP)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>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.<\/jats:p>\n               <jats:p>Availability: \u00a0http:\/\/www.sourceforge.net\/projects\/msprep<\/jats:p>\n               <jats:p>Contact: \u00a0grant.hughes@ucdenver.edu<\/jats:p>\n               <jats:p>Supplementary Information: \u00a0Supplementary materials are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btt589","type":"journal-article","created":{"date-parts":[[2013,10,31]],"date-time":"2013-10-31T00:59:40Z","timestamp":1383181180000},"page":"133-134","source":"Crossref","is-referenced-by-count":50,"title":["MSPrep\u2014Summarization, normalization and diagnostics for processing of mass spectrometry\u2013based metabolomic data"],"prefix":"10.1093","volume":"30","author":[{"given":"Grant","family":"Hughes","sequence":"first","affiliation":[{"name":"1 Department of Biostatistics and Informatics, University of Colorado School of Public Health, Aurora, CO, 2Department of Immunology, National Jewish Health Center, Denver, CO, 3Department of Medicine, Indiana University School of Medicine, Indianapolis, IN and 4Department of Pulmonary Medicine, National Jewish Health Center, Denver, CO, USA"}]},{"given":"Charmion","family":"Cruickshank-Quinn","sequence":"additional","affiliation":[{"name":"1 Department of Biostatistics and Informatics, University of Colorado School of Public Health, Aurora, CO, 2Department of Immunology, National Jewish Health Center, Denver, CO, 3Department of Medicine, Indiana University School of Medicine, Indianapolis, IN and 4Department of Pulmonary Medicine, National Jewish Health Center, Denver, CO, USA"}]},{"given":"Richard","family":"Reisdorph","sequence":"additional","affiliation":[{"name":"1 Department of Biostatistics and Informatics, University of Colorado School of Public Health, Aurora, CO, 2Department of Immunology, National Jewish Health Center, Denver, CO, 3Department of Medicine, Indiana University School of Medicine, Indianapolis, IN and 4Department of Pulmonary Medicine, National Jewish Health Center, Denver, CO, USA"}]},{"given":"Sharon","family":"Lutz","sequence":"additional","affiliation":[{"name":"1 Department of Biostatistics and Informatics, University of Colorado School of Public Health, Aurora, CO, 2Department of Immunology, National Jewish Health Center, Denver, CO, 3Department of Medicine, Indiana University School of Medicine, Indianapolis, IN and 4Department of Pulmonary Medicine, National Jewish Health Center, Denver, CO, USA"}]},{"given":"Irina","family":"Petrache","sequence":"additional","affiliation":[{"name":"1 Department of Biostatistics and Informatics, University of Colorado School of Public Health, Aurora, CO, 2Department of Immunology, National Jewish Health Center, Denver, CO, 3Department of Medicine, Indiana University School of Medicine, Indianapolis, IN and 4Department of Pulmonary Medicine, National Jewish Health Center, Denver, CO, USA"}]},{"given":"Nichole","family":"Reisdorph","sequence":"additional","affiliation":[{"name":"1 Department of Biostatistics and Informatics, University of Colorado School of Public Health, Aurora, CO, 2Department of Immunology, National Jewish Health Center, Denver, CO, 3Department of Medicine, Indiana University School of Medicine, Indianapolis, IN and 4Department of Pulmonary Medicine, National Jewish Health Center, Denver, CO, USA"}]},{"given":"Russell","family":"Bowler","sequence":"additional","affiliation":[{"name":"1 Department of Biostatistics and Informatics, University of Colorado School of Public Health, Aurora, CO, 2Department of Immunology, National Jewish Health Center, Denver, CO, 3Department of Medicine, Indiana University School of Medicine, Indianapolis, IN and 4Department of Pulmonary Medicine, National Jewish Health Center, Denver, CO, USA"}]},{"given":"Katerina","family":"Kechris","sequence":"additional","affiliation":[{"name":"1 Department of Biostatistics and Informatics, University of Colorado School of Public Health, Aurora, CO, 2Department of Immunology, National Jewish Health Center, Denver, CO, 3Department of Medicine, Indiana University School of Medicine, Indianapolis, IN and 4Department of Pulmonary Medicine, National Jewish Health Center, Denver, CO, USA"}]}],"member":"286","published-online":{"date-parts":[[2013,10,29]]},"reference":[{"key":"2023012710375117000_btt589-B1","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1093\/bioinformatics\/19.2.185","article-title":"A comparison of normalization methods for high density oligonucleotide array data based on variance and 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