pRoloc: A unifying bioinformatics framework for spatial proteomics

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.

Package details

AuthorLaurent Gatto, Oliver Crook and Lisa M. Breckels with contributions from Thomas Burger and Samuel Wieczorek
Bioconductor views Classification Clustering ImmunoOncology MassSpectrometry Proteomics QualityControl
MaintainerLaurent Gatto <>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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pRoloc documentation built on Nov. 8, 2020, 6:26 p.m.