DEP
This is the development version of DEP; for the stable release version, see DEP.
Differential Enrichment analysis of Proteomics data
DOI: 10.18129/B9.bioc.DEP
Bioconductor version: Development (3.21)
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.
Author: Arne Smits [cre, aut], Wolfgang Huber [aut]
Maintainer: Arne Smits <smits.arne at gmail.com>
citation("DEP")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("DEP")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DEP")| DEP: Introduction | HTML | R Script |
| DEP: Missing value handling | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DataRepresentation, DifferentialExpression, ImmunoOncology, MassSpectrometry, Proteomics, Software |
| Version | 1.29.0 |
| In Bioconductor since | BioC 3.6 (R-3.4) (7 years) |
| License | Artistic-2.0 |
| Depends | R (>= 3.5) |
| Imports | ggplot2, dplyr, purrr, readr, tibble, tidyr, SummarizedExperiment(>= 1.11.5), MSnbase, limma, vsn, fdrtool, ggrepel, ComplexHeatmap, RColorBrewer, circlize, shiny, shinydashboard, DT, rmarkdown, assertthat, gridExtra, grid, stats, imputeLCMD, cluster |
| System Requirements | |
| URL |
See More
| Suggests | testthat, enrichR, knitr, BiocStyle |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | proDA, RforProteomics |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | DEP_1.29.0.tar.gz |
| Windows Binary (x86_64) | DEP_1.29.0.zip |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/DEP |
| Source Repository (Developer Access) | git clone [email protected]:packages/DEP |
| Bioc Package Browser | https://code.bioconductor.org/browse/DEP/ |
| Package Short Url | https://bioconductor.org/packages/DEP/ |
| Package Downloads Report | Download Stats |