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MSstats Preprocessing for Larger than Memory Data

Bioconductor version: Release (3.19)

MSstats package provide tools for preprocessing, summarization and differential analysis of mass spectrometry (MS) proteomics data. Recently, some MS protocols enable acquisition of data sets that result in larger than memory quantitative data. MSstats functions are not able to process such data. MSstatsBig package provides additional converter functions that enable processing larger than memory data sets.

Author: Mateusz Staniak [aut, cre], Devon Kohler [aut]

Maintainer: Mateusz Staniak <mtst at>

Citation (from within R, enter citation("MSstatsBig")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

MSstatsBig Workflow HTML R Script
Reference Manual PDF


biocViews MassSpectrometry, Proteomics, Software
Version 1.2.0
In Bioconductor since BioC 3.18 (R-4.3) (0.5 years)
License Artistic-2.0
Imports arrow, DBI, dplyr, MSstats, MSstatsConvert, readr, sparklyr, utils
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Suggests knitr, rmarkdown
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Follow Installation instructions to use this package in your R session.

Source Package MSstatsBig_1.2.0.tar.gz
Windows Binary
macOS Binary (x86_64) MSstatsBig_1.2.0.tgz
macOS Binary (arm64) MSstatsBig_1.2.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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