To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("prot2D")
In most cases, you don't need to download the package archive at all.
prot2D
Statistical Tools for volume data from 2D Gel Electrophoresis
Bioconductor version: 3.0
The purpose of this package is to analyze (i.e. Normalize and select significant spots) data issued from 2D GEl experiments
Author: Sebastien Artigaud
Maintainer: Sebastien Artigaud <sebastien.artigaud at gmx.com>
Citation (from within R,
enter citation("prot2D")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("prot2D")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("prot2D")
| R Script | prot2D | |
| Reference Manual |
Details
| biocViews | DifferentialExpression, MultipleComparison, Proteomics, Software |
| Version | 1.4.0 |
| In Bioconductor since | BioC 2.13 (R-3.0) |
| License | GPL (>= 2) |
| Depends | R (>= 2.15), fdrtool, st, samr, Biobase, limma, Mulcom, impute, MASS, qvalue |
| Imports | |
| LinkingTo | |
| Suggests | made4, affy |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | prot2D_1.4.0.tar.gz |
| Windows Binary | prot2D_1.4.0.zip |
| Mac OS X 10.6 (Snow Leopard) | prot2D_1.4.0.tgz |
| Mac OS X 10.9 (Mavericks) | prot2D_1.4.0.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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