The goal of ‘LCMSQA’ is to make it easy to check the quality of liquid chromatography/mass spectrometry (LC/MS) experiments using a ‘shiny’ application. It uses the R package ‘xcms’ workflow for data import, visualization, and feature detection of internal standards or known metabolites that can be used to evaluate and adapt the peak detection settings.
In R session, please type
## Install from CRAN
## Load LCMSQA pacakge
Most methods in
xcms support parallel processing via ‘BiocParallel’ to save time. We highly recommend to initiate the parallel processing setup explicitly before starting the app.
multicore-based parallel evaluation in Unix-based systems (e.g., Linux, macOS),
## Unix-based systems
MulticoreParam results in serial evaluation. Please use
## Windows system
For other options and details, please check the
BiocParallel package vignettes.
Launch the shiny app with
The system’s default web browser will be launched automatically after the app is started.
The app needs the following input:
Check ‘msconvert’ if you have data in different formats. Multiple files can be selected.
You will see the menu to upload a CSV file after uploading mass-spectrometry files. You can skip this step and specify mass-to-charge ratio (m/z) manually to explore metabolic features of interest.
You can tune multiple parameters for metabolic feature detection (peak picking + grouping).
The application consists of four main tabs:
This is the default tab that is opened once you upload the files. The TIC chromatogram shows the summed signals over the entire range of masses. Alternatively, base peak chromatogram can be displayed to monitor the most intense signal in each spectrum. The Collapse checkbox is used to display the chromatograms of multiple files in one figure.
In this tab, a mass spectrum is presented in which the most intense ion is re-scaled to an abundance of 100. If you click any data point within a chromatogram on top, a mass spectrum of the given scan time will be automatically displayed.
For a specific slice of m/z and retention time ranges, clicking Generate XIC in the sidebar panel generates plots where each figure shows an XIC on top and m/z variation against retention time on bottom. You can choose a subset of files to display from the dropdown menu.
If you click Detect Features in the sidebar panel, chromatographic peak detection is performed using the centWave method and identified peaks are grouped into a feature. This tab shows apex positions of m/z and retention time values within the feature on the left and integrated peak areas on the right using a bar plot. Relative standard deviation (RSD) is calculated to measure the reproducibility among QC samples. A RSD value is not calculated if there is any missing value in the integrated peak area. In that case, you can exclude samples with missing values from the dropdown menu.
Smith, C.A. and Want, E.J. and O’Maille, G. and Abagyan,R. and Siuzdak, G.: XCMS: Processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching and identification, Analytical Chemistry, 78:779-787 (2006)
Ralf Tautenhahn, Christoph Boettcher, Steffen Neumann: Highly sensitive feature detection for high resolution LC/MS BMC Bioinformatics, 9:504 (2008)