To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("mygene")
In most cases, you don't need to download the package archive at all.
mygene
Access MyGene.Info services
Bioconductor version: 3.0
MyGene.Info provides simple-to-use REST web services to query/retrieve gene annotation data. It's designed with simplicity and performance emphasized. *mygene*, is an easy-to-use R wrapper to access MyGene.Info_ services.
Author: Adam Mark, Ryan Thompson, Chunlei Wu
Maintainer: Adam Mark, Chunlei Wu <cwu at scripps.edu>
Citation (from within R,
enter citation("mygene")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("mygene")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("mygene")
| R Script | Using mygene.R | |
| Reference Manual |
Details
| biocViews | Annotation, Software |
| Version | 1.0.1 |
| In Bioconductor since | BioC 3.0 (R-3.1) |
| License | Artistic-2.0 |
| Depends | R (>= 3.0.0), GenomicFeatures |
| Imports | httr (>= 0.3), jsonlite (>= 0.9.7), S4Vectors, Hmisc, sqldf |
| LinkingTo | |
| Suggests | BiocStyle |
| 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 | mygene_1.0.1.tar.gz |
| Windows Binary | mygene_1.0.1.zip |
| Mac OS X 10.6 (Snow Leopard) | mygene_1.0.1.tgz |
| Mac OS X 10.9 (Mavericks) | mygene_1.0.1.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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