To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("eiR")
In most cases, you don't need to download the package archive at all.
eiR
Accelerated similarity searching of small molecules
Bioconductor version: 3.0
The eiR package provides utilities for accelerated structure similarity searching of very large small molecule data sets using an embedding and indexing approach.
Author: Kevin Horan
Maintainer: Kevin Horan <khoran at cs.ucr.edu>
Citation (from within R,
enter citation("eiR")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("eiR")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("eiR")
| HTML | R Script | eiR |
| Reference Manual | ||
| Text | README | |
| Text | NEWS | |
| Text | LICENSE |
Details
| biocViews | Clustering, DataImport, Infrastructure, Proteomics, Software |
| Version | 1.6.0 |
| In Bioconductor since | BioC 2.12 (R-3.0) |
| License | Artistic-2.0 |
| Depends | R (>= 2.10.0), ChemmineR(>= 2.15.15), methods, DBI |
| Imports | snow, tools, snowfall, RUnit, methods, ChemmineR, RCurl, digest, BiocGenerics |
| LinkingTo | BH |
| Suggests | RCurl, snow, BiocStyle, knitcitations, knitr, knitrBootstrap |
| 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 | eiR_1.6.0.tar.gz |
| Windows Binary | |
| Mac OS X 10.6 (Snow Leopard) | eiR_1.6.0.tgz |
| Mac OS X 10.9 (Mavericks) | eiR_1.6.0.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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