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Bioconductor - bandle

bandle

This is the released version of bandle; for the devel version, see bandle.

An R package for the Bayesian analysis of differential subcellular localisation experiments

Bioconductor version: Release (3.21)

The Bandle package enables the analysis and visualisation of differential localisation experiments using mass-spectrometry data. Experimental methods supported include dynamic LOPIT-DC, hyperLOPIT, Dynamic Organellar Maps, Dynamic PCP. It provides Bioconductor infrastructure to analyse these data.

Author: Oliver M. Crook [aut, cre] ORCID: 0000-0001-5669-8506 , Lisa Breckels [aut] ORCID: 0000-0001-8918-7171

Maintainer: Oliver M. Crook <oliver.crook at stats.ox.ac.uk>

Citation (from within R, enter citation("bandle")): Installation

To install this package, start R (version "4.5") and enter:


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

BiocManager::install("bandle")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("bandle")
Analysing differential localisation experiments with BANDLE: Vignette 1 HTML R Script Analysing differential localisation experiments with BANDLE: Vignette 2 HTML R Script Reference Manual PDF NEWS Text Details biocViews Bayesian, Classification, Clustering, DataImport, ImmunoOncology, MassSpectrometry, Proteomics, QualityControl, Software Version 1.12.0 In Bioconductor since BioC 3.15 (R-4.2) (3 years) License Artistic-2.0 Depends R (>= 4.1), S4Vectors, Biobase, MSnbase, pRoloc Imports Rcpp (>= 1.0.4.6), pRolocdata, lbfgs, ggplot2, dplyr, plyr, knitr, methods, BiocParallel, robustbase, BiocStyle, ggalluvial, ggrepel, tidyr, circlize, graphics, stats, utils, grDevices, rlang, RColorBrewer, gtools, gridExtra, coda (>= 0.19-4) System Requirements URL http://github.com/ococrook/bandle Bug Reports https://github.com/ococrook/bandle/issues See More Package Archives

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

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