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 <[email protected]>
LicenseGPL-2
Version1.24.0
URL https://github.com/lgatto/pRoloc
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("pRoloc")

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pRoloc documentation built on May 6, 2019, 2:12 a.m.