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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("geneLenDataBase")
In most cases, you don't need to download the package archive at all.
geneLenDataBase
Lengths of mRNA transcripts for a number of genomes
Bioconductor version: 3.0
Length of mRNA transcripts for a number of genomes and gene ID formats, largely based on UCSC table browser
Author: Matthew Young
Maintainer: Matthew Young <myoung at wehi.edu.au>, Nadia Davidson <nadia.davidson at mcri.edu.au>
Citation (from within R,
enter citation("geneLenDataBase")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("geneLenDataBase")
Documentation
| Reference Manual |
Details
| biocViews | ExperimentData, HighThroughputSequencingData, RNAseq, Transcription |
| Version | 1.1.1 |
| License | LGPL (>= 2) |
| Depends | R (>= 2.11.0) |
| Imports | utils, rtracklayer, GenomicFeatures(>= 1.3.15) |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | goseq |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | geneLenDataBase_1.1.1.tar.gz |
| Windows Binary | geneLenDataBase_1.1.1.zip |
| Mac OS X 10.6 (Snow Leopard) | geneLenDataBase_1.1.1.tgz |
| Mac OS X 10.9 (Mavericks) | geneLenDataBase_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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