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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("pRolocGUI")
In most cases, you don't need to download the package archive at all.
pRolocGUI
Interactive visualisation of spatial proteomics data
Bioconductor version: 3.0
The package pRolocGUI comprises functions to interactively visualise organelle (spatial) proteomics data on the basis of pRoloc, pRolocdata and shiny.
Author: Thomas Naake and Laurent Gatto
Maintainer: Laurent Gatto <lg390 at cam.ac.uk>, Thomas Naake <naake at stud.uni-heidelberg.de>
Citation (from within R,
enter citation("pRolocGUI")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("pRolocGUI")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("pRolocGUI")
| HTML | R Script | pRolocVis and pRolocComp application |
| Reference Manual | ||
| Text | NEWS | |
| Video | pRoloc, pRolocdata and pRolocGUI |
Details
| biocViews | GUI, Proteomics, Software, Visualization |
| Version | 1.0.2 |
| In Bioconductor since | BioC 3.0 (R-3.1) |
| License | GPL-2 |
| Depends | R (>= 3.1.0), pRoloc(>= 1.5.12), MSnbase(>= 1.13.11), methods |
| Imports | pRolocdata, shiny (>= 0.9.1), tools (>= 3.1.0) |
| LinkingTo | |
| Suggests | RUnit, BiocGenerics, knitr, knitrBootstrap, bibtex, knitcitations (>= 1.0-1) |
| SystemRequirements | |
| Enhances | |
| URL | http://ComputationalProteomicsUnit.github.io/pRolocGUI/ |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | pRolocGUI_1.0.2.tar.gz |
| Windows Binary | pRolocGUI_1.0.2.zip |
| Mac OS X 10.6 (Snow Leopard) | pRolocGUI_1.0.2.tgz |
| Mac OS X 10.9 (Mavericks) | pRolocGUI_1.0.2.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
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