Literature DB >> 30450913

MSstatsQC 2.0: R/Bioconductor Package for Statistical Quality Control of Mass Spectrometry-Based Proteomics Experiments.

Eralp Dogu1, Sara Mohammad Taheri2, Roger Olivella3, Florian Marty4, Ian Lienert4, Lukas Reiter4, Eduard Sabido3, Olga Vitek2.   

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.

Keywords:  proteomics; quality control; software; statistical process control

Mesh:

Year:  2018        PMID: 30450913     DOI: 10.1021/acs.jproteome.8b00732

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  1 in total

1.  DO-MS: Data-Driven Optimization of Mass Spectrometry Methods.

Authors:  R Gray Huffman; Albert Chen; Harrison Specht; Nikolai Slavov
Journal:  J Proteome Res       Date:  2019-05-28       Impact factor: 4.466

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.