To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("BAC")
In most cases, you don't need to download the package archive at all.
BAC
Bayesian Analysis of Chip-chip experiment
Bioconductor version: 2.14
This package uses a Bayesian hierarchical model to detect enriched regions from ChIP-chip experiments
Author: Raphael Gottardo
Maintainer: Raphael Gottardo <raph at stat.ubc.ca>
Citation (from within R,
enter citation("BAC")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("BAC")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BAC")
| R Script | 1. Primer | |
| Reference Manual |
Details
| biocViews | Microarray, Software, Transcription |
| Version | 1.24.0 |
| In Bioconductor since | BioC 2.2 (R-2.7) |
| License | Artistic-2.0 |
| Depends | R (>= 2.10) |
| Imports | |
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | BAC_1.24.0.tar.gz |
| Windows Binary | BAC_1.24.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | BAC_1.24.0.tgz |
| Mac OS X 10.9 (Mavericks) | BAC_1.24.0.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
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