To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("mBPCR")
In most cases, you don't need to download the package archive at all.
mBPCR
Bayesian Piecewise Constant Regression for DNA copy number estimation
Bioconductor version: 3.0
Estimates the DNA copy number profile using mBPCR to detect regions with copy number changes
Author: P.M.V. Rancoita <rancoita.paola at gmail.com>, with contributions from M. Hutter <marcus.hutter at anu.edu.au>
Maintainer: P.M.V. Rancoita <rancoita.paola at gmail.com>
Citation (from within R,
enter citation("mBPCR")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("mBPCR")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("mBPCR")
| R Script | mBPCR | |
| Reference Manual |
Details
| biocViews | CopyNumberVariation, Microarray, SNP, Software, aCGH |
| Version | 1.20.0 |
| In Bioconductor since | BioC 2.5 (R-2.10) |
| License | GPL (>= 2) |
| Depends | oligoClasses, SNPchip |
| Imports | Biobase |
| LinkingTo | |
| Suggests | xtable |
| SystemRequirements | |
| Enhances | |
| URL | http://www.idsia.ch/~paola/mBPCR |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | mBPCR_1.20.0.tar.gz |
| Windows Binary | mBPCR_1.20.0.zip |
| Mac OS X 10.6 (Snow Leopard) | mBPCR_1.20.0.tgz |
| Mac OS X 10.9 (Mavericks) | mBPCR_1.20.0.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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