inst/shiny-examples/msstats-qc/log/README.md

In srtaheri/MSstatsQC: Longitudinal system suitability monitoring and quality control for proteomic experiments

Longitudinal system suitability monitoring tools for quantitative mass spectrometry based proteomic experiments

Statistical process control (SPC) is a general and well-established method of quality control (QC) which can be used to monitor and improve the quality of a process such as LC MS/MS. MSstatsQC is an open-source R-based web application for statistical analysis and monitoring of quality control and system suitability testing (SST) samples produced by spectrometry-based proteomic experiments. Our framework termed MSstatsQC is available through www.msstats.org/msstatsqc. It uses SPC tools to track ID free system suitability metrics including total peak area, retention time, full width at half maximum (FWHM) and peak asymmetry for selection reaction monitoring (SRM) based proteomic experiments. We introduce simultaneous and time weighted monitoring tools and change point analysis to monitor mean and dispersion of system suitability metrics such as retention time. Proposed longitudinal monitoring approach significantly improves the ability of real time monitoring, early detection and prevention of chromatographic and instrumental problems of mass spectrometric assays, thereby, reducing cost of control and failure.

srtaheri/MSstatsQC documentation built on May 30, 2019, 8:41 a.m.