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scp

Mass Spectrometry-Based Single-Cell Proteomics Data Analysis

Bioconductor version: 3.23 · Package version: 1.22.0

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 rank419
Source branchRELEASE_3_23
biocViewsCellBasedAssays, GeneExpression, MassSpectrometry, Preprocessing, Proteomics, SingleCell, Software

Documentation

Download

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