Installation
From Bioconductor: MSstats
MSstats 4.2.0 (Bioconductor version : Release 3.14, R version >= 4.1)
#Type the following in R console window if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("MSstats") library(MSstats)
The following packages are not required but are mentioned in the extensions section:
- MSstatsTMT: detects differentially abundant proteins in shotgun mass spectrometry-based proteomic experiments with tandem mass tag (TMT) labeling
- MSstatsPTM: detects differentially abundant PTMs in shotgun mass spectrometry-based proteomic experiments
- MSstatsLiP: tool for LiP peptide and protein significance analysis
- MSstatsLOBD: assay characterization metrics (LOB and LOD)
- MSstatsSampleSize: Simulation-based sample size estimation for classification
- MSstatsQC: Longitudinal system suitability monitoring and quality control for proteomic experiments
BiocManager::install("MSstatsTMT") BiocManager::install("MSstatsPTM") BiocManager::install("MSstatsLiP") BiocManager::install("MSstatsLOBD") BiocManager::install("MSstatsSampleSize") BiocManager::install("MSstatsQC")
From GitHub: MSstats
MSstats Bioconductor development version : link
install.packages("devtools") # if you have not installed "devtools" package
devtools::install_github("Vitek-Lab/MSstats")
The development version of the package MSstats is the most recent and is available here. The versioning of the main package is updated twice a year, to synchronize with the Bioconductor release.
For use via Skyline external tool
To use MSstats via a graphical user interface, as an external tool in Skyline, please see the info here. (known issues and proposed solutions)