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DEP

Bioc removed

Differential Enrichment analysis of Proteomics data

v1.32.0 · Artistic-2.0

Release Lineage

Entered 3.6 · Oct 31, 2017

Removed after 3.22 · Oct 30, 2025

1.0 In 17 of 49 releases 3.23

Description

This package provides an integrated analysis workflow for robust and reproducible analysis of mass spectrometry proteomics data for differential protein expression or differential enrichment. It requires tabular input (e.g. txt files) as generated by quantitative analysis softwares of raw mass spectrometry data, such as MaxQuant or IsobarQuant. Functions are provided for data preparation, filtering, variance normalization and imputation of missing values, as well as statistical testing of differentially enriched / expressed proteins. It also includes tools to check intermediate steps in the workflow, such as normalization and missing values imputation. Finally, visualization tools are provided to explore the results, including heatmap, volcano plot and barplot representations. For scientists with limited experience in R, the package also contains wrapper functions that entail the complete analysis workflow and generate a report. Even easier to use are the interactive Shiny apps that are provided by the package.

Advisories

None published for Bioconductor

Code intelligence has not been computed for this package yet.

Code

Code metrics have not been computed for this package yet.

Topics

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DEP")
Smits, A., & Huber, W. (2025). DEP: Differential Enrichment analysis of Proteomics data (Version 1.32.0) [Computer software]. https://bioconductor.org/packages/DEP

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DEP version 1.32.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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