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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("FANTOM3and4CAGE")
In most cases, you don't need to download the package archive at all.
FANTOM3and4CAGE
CAGE data from FANTOM3 and FANTOM4 projects
Bioconductor version: 3.0
CAGE (Cap Analysis Gene Expression) data from FANTOM3 and FANTOM4 projects produced by RIKEN Omics Science Center.
Author: Vanja Haberle, Department of Biology, University of Bergen, Norway <vanja.haberle at bio.uib.no>
Maintainer: Vanja Haberle <vanja.haberle at bio.uib.no>
Citation (from within R,
enter citation("FANTOM3and4CAGE")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("FANTOM3and4CAGE")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("FANTOM3and4CAGE")
| R Script | FANTOM3and4CAGE | |
| Reference Manual |
Details
| biocViews | ExperimentData, HighThroughputSequencing, TimeCourse, Transcription |
| Version | 1.1.1 |
| License | GPL-3 |
| Depends | R (>= 2.15.0) |
| Imports | |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | CAGEr |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | FANTOM3and4CAGE_1.1.1.tar.gz |
| Windows Binary | FANTOM3and4CAGE_1.1.1.zip |
| Mac OS X 10.6 (Snow Leopard) | FANTOM3and4CAGE_1.1.1.tgz |
| Mac OS X 10.9 (Mavericks) | FANTOM3and4CAGE_1.1.1.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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