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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("simpIntLists")
In most cases, you don't need to download the package archive at all.
simpIntLists
The package contains BioGRID interactions for various organisms in a simple format
Bioconductor version: 3.0
The package contains BioGRID interactions for arabidopsis(thale cress), c.elegans, fruit fly, human, mouse, yeast( budding yeast ) and S.pombe (fission yeast) . Entrez ids, official names and unique ids can be used to find proteins. The format of interactions are lists. For each gene/protein, there is an entry in the list with "name" containing name of the gene/protein and "interactors" containing the list of genes/proteins interacting with it.
Author: Kircicegi Korkmaz, Volkan Atalay, Rengul Cetin-Atalay
Maintainer: Kircicegi Korkmaz <e102771 at ceng.metu.edu.tr>
Citation (from within R,
enter citation("simpIntLists")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("simpIntLists")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("simpIntLists")
| R Script | simpIntLists | |
| Reference Manual |
Details
| biocViews | ExperimentData |
| Version | 1.1.1 |
| License | GPL (>= 2) |
| Depends | |
| Imports | |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | ibh |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | simpIntLists_1.1.1.tar.gz |
| Windows Binary | simpIntLists_1.1.1.zip |
| Mac OS X 10.6 (Snow Leopard) | simpIntLists_1.1.1.tgz |
| Mac OS X 10.9 (Mavericks) | simpIntLists_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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