dc.contributor.author | Doğu, Eralp | |
dc.contributor.author | Taheri, Sara Mohammad | |
dc.contributor.author | Olivella, Roger | |
dc.contributor.author | Marty, Florian | |
dc.contributor.author | Lienert, Ian | |
dc.contributor.author | Reiter, Lukas | |
dc.contributor.author | Vitek, Olga | |
dc.date.accessioned | 2020-11-20T14:42:40Z | |
dc.date.available | 2020-11-20T14:42:40Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 1535-3893 | |
dc.identifier.issn | 1535-3907 | |
dc.identifier.uri | https://doi.org/10.1021/acs.jproteome.8b00732 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12809/1098 | |
dc.description | DOĞU, ERALP/0000-0002-8256-7304; Sabido, Eduard/0000-0001-6506-7714 | en_US |
dc.description | WOS: 000457947700012 | en_US |
dc.description | PubMed ID: 30450913 | en_US |
dc.description.abstract | MSstatsQC 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.sponsorship | U.S. National Science Foundation CAREER awardNational Science Foundation (NSF) [DBI-1054826] | en_US |
dc.description.sponsorship | The 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.iso | eng | en_US |
dc.publisher | Amer Chemical Soc | en_US |
dc.item-rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Proteomics | en_US |
dc.subject | Software | en_US |
dc.subject | Quality Control | en_US |
dc.subject | Statistical Process Control | en_US |
dc.title | MSstatsQC 2.0: R/Bioconductor Package for Statistical Quality Control of Mass Spectrometry-Based Proteomics Experiments | en_US |
dc.item-type | article | en_US |
dc.contributor.department | MÜ, Fen Fakültesi, İstatistik Bölümü | en_US |
dc.contributor.institutionauthor | Doğu, Eralp | |
dc.identifier.doi | 10.1021/acs.jproteome.8b00732 | |
dc.identifier.volume | 18 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.startpage | 678 | en_US |
dc.identifier.endpage | 686 | en_US |
dc.relation.journal | Journal of Proteome Research | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |