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dc.contributor.authorDoğu, Eralp
dc.contributor.authorTaheri, Sara Mohammad
dc.contributor.authorOlivella, Roger
dc.contributor.authorMarty, Florian
dc.contributor.authorLienert, Ian
dc.contributor.authorReiter, Lukas
dc.contributor.authorVitek, Olga
dc.date.accessioned2020-11-20T14:42:40Z
dc.date.available2020-11-20T14:42:40Z
dc.date.issued2019
dc.identifier.issn1535-3893
dc.identifier.issn1535-3907
dc.identifier.urihttps://doi.org/10.1021/acs.jproteome.8b00732
dc.identifier.urihttps://hdl.handle.net/20.500.12809/1098
dc.descriptionDOĞU, ERALP/0000-0002-8256-7304; Sabido, Eduard/0000-0001-6506-7714en_US
dc.descriptionWOS: 000457947700012en_US
dc.descriptionPubMed ID: 30450913en_US
dc.description.abstractMSstatsQC is an R/Bioconductor package for statistical monitoring of longitudinal system suitability and quality control in mass spectrometry-based proteomics. MSstatsQC was initially designed for targeted selected reaction monitoring experiments. This paper presents an extension, MSstatsQC 2.0, that supports experiments with global data-dependent and data-independent acquisition. The extension implements data processing and analyses that are specific to these acquisition types. It relies on state-of-the-art methods of statistical process control to detect deviations from optimal performance of various metrics (such as intensity and retention time of chromatographic peaks) and to summarize the results across multiple metrics and analytes. Additionally, the web-based graphical user interface MSstatsQCgui, implemented as a separate R/Bioconductor package, provides a user-friendly way to visualize and report the results from MSstatsQC 2.0.en_US
dc.description.sponsorshipU.S. National Science Foundation CAREER awardNational Science Foundation (NSF) [DBI-1054826]en_US
dc.description.sponsorshipThe work was supported in part by the U.S. National Science Foundation CAREER award DBI-1054826 to O.V. The authors thank MSstatsQC users for providing feedback on development of MSstatsQC and MSstatsQCgui.en_US
dc.item-language.isoengen_US
dc.publisherAmer Chemical Socen_US
dc.item-rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectProteomicsen_US
dc.subjectSoftwareen_US
dc.subjectQuality Controlen_US
dc.subjectStatistical Process Controlen_US
dc.titleMSstatsQC 2.0: R/Bioconductor Package for Statistical Quality Control of Mass Spectrometry-Based Proteomics Experimentsen_US
dc.item-typearticleen_US
dc.contributor.departmentMÜ, Fen Fakültesi, İstatistik Bölümüen_US
dc.contributor.institutionauthorDoğu, Eralp
dc.identifier.doi10.1021/acs.jproteome.8b00732
dc.identifier.volume18en_US
dc.identifier.issue2en_US
dc.identifier.startpage678en_US
dc.identifier.endpage686en_US
dc.relation.journalJournal of Proteome Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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