To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("BUS")
In most cases, you don't need to download the package archive at all.
BUS
Gene network reconstruction
Bioconductor version: 3.0
This package can be used to compute associations among genes (gene-networks) or between genes and some external traits (i.e. clinical).
Author: Yin Jin, Hesen Peng, Lei Wang, Raffaele Fronza, Yuanhua Liu and Christine Nardini
Maintainer: Yuanhua Liu <liuyuanhua at picb.ac.cn>
Citation (from within R,
enter citation("BUS")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("BUS")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BUS")
| R Script | bus.pdf | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Preprocessing, Software |
| Version | 1.22.0 |
| In Bioconductor since | BioC 2.5 (R-2.10) |
| License | GPL-3 |
| Depends | R (>= 2.3.0), minet |
| Imports | stats, infotheo |
| LinkingTo | |
| Suggests | |
| 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 | BUS_1.22.0.tar.gz |
| Windows Binary | BUS_1.22.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | BUS_1.22.0.tgz |
| Mac OS X 10.9 (Mavericks) | BUS_1.22.0.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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