Bioc2026 Registration Open!

scp

Mass Spectrometry-Based Single-Cell Proteomics Data Analysis

Bioconductor version: 3.24 · Package version: 1.23.0

Utility functions for manipulating, processing, and analyzing mass spectrometry-based single-cell proteomics data. The package is an extension to the 'QFeatures' package and relies on 'SingleCellExpirement' to enable single-cell proteomics analyses. The package offers the user the functionality to process quantitative table (as generated by MaxQuant, Proteome Discoverer, and more) into data tables ready for downstream analysis and data visualization.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("scp")

Details

MaintainerChristophe Vanderaa <vanderaa.christophe@gmail.com>
AuthorChristophe Vanderaa [aut, cre] (ORCID: <https://orcid.org/0000-0001-7443-5427>), Laurent Gatto [aut] (ORCID: <https://orcid.org/0000-0002-1520-2268>), Léopold Guyot [ctb]
LicenseArtistic-2.0
URLhttps://UCLouvain-CBIO.github.io/scp
Bug Reportshttps://github.com/UCLouvain-CBIO/scp/issues
Downloads rank579
Source branchdevel
biocViewsCellBasedAssays, GeneExpression, MassSpectrometry, Preprocessing, Proteomics, SingleCell, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagescp_1.23.0.tar.gz
Windows binary (x86_64)scp_1.23.0.zip
macOS binary (x86_64)scp_1.23.0.tgz
Dependencies

Depends: R (>= 4.3.0), QFeatures (>= 1.19.1)

Imports: IHW, ggplot2, ggrepel, matrixStats, metapod, methods, MsCoreUtils, MultiAssayExperiment, nipals, RColorBrewer, S4Vectors, SingleCellExperiment, SummarizedExperiment, stats, utils

Suggests: BiocStyle, BiocGenerics, MsDataHub (>= 1.3.3), impute, knitr, patchwork, preprocessCore, rmarkdown, scater, scpdata, sva, testthat, vdiffr, vsn, uwot

Reverse dependencies

Suggests Me (1): scpdata