DOI: 10.18129/B9.bioc.pRoloc  

This is the development version of pRoloc; for the stable release version, see pRoloc.

A unifying bioinformatics framework for spatial proteomics

Bioconductor version: Development (3.18)

The pRoloc package implements machine learning and visualisation methods for the analysis and interogation of quantitiative mass spectrometry data to reliably infer protein sub-cellular localisation.

Author: Laurent Gatto, Oliver Crook and Lisa M. Breckels with contributions from Thomas Burger and Samuel Wieczorek

Maintainer: Laurent Gatto <laurent.gatto at>

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


To install this package, start R (version "4.3") and enter:

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

# The following initializes usage of Bioc devel


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


PDF   Reference Manual
Video   pRoloc, pRolocdata and pRolocGUI


biocViews Classification, Clustering, ImmunoOncology, MassSpectrometry, Proteomics, QualityControl, Software
Version 1.41.0
In Bioconductor since BioC 2.12 (R-3.0) (10 years)
License GPL-2
Depends R (>= 3.5), MSnbase(>= 1.19.20), MLInterfaces(>= 1.67.10), methods, Rcpp (>= 0.10.3), BiocParallel
Imports stats4, Biobase, mclust (>= 4.3), caret, e1071, sampling, class, kernlab, lattice, nnet, randomForest, proxy, FNN, hexbin, BiocGenerics, stats, dendextend, RColorBrewer, scales, MASS, knitr, mvtnorm, LaplacesDemon, coda, mixtools, gtools, plyr, ggplot2, biomaRt, utils, grDevices, graphics
LinkingTo Rcpp, RcppArmadillo
Suggests testthat, rmarkdown, pRolocdata(>= 1.9.4), roxygen2, xtable, rgl, BiocStyle(>= 2.5.19), hpar(>= 1.41.0), dplyr, akima, fields, vegan, GO.db, AnnotationDbi, Rtsne (>= 0.13), nipals, reshape, magick
Depends On Me bandle, pRolocGUI
Imports Me
Suggests Me MSnbase, pRolocdata, RforProteomics
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary
macOS Binary (x86_64) pRoloc_1.41.0.tgz
macOS Binary (arm64)
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: