DOI: 10.18129/B9.bioc.eiR
Accelerated similarity searching of small molecules
Bioconductor version: Release (3.5)
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, Yiqun Cao and Tyler Backman
Maintainer: Thomas Girke <thomas.girke at ucr.edu>
Citation (from within R,
enter citation("eiR")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("eiR")
Documentation
Details
| biocViews | BiomedicalInformatics, CellBasedAssays, Cheminformatics, Clustering, DataImport, Infrastructure, MicrotitrePlateAssay, Pharmacogenetics, Pharmacogenomics, Proteomics, Software, Visualization |
| Version | 1.16.2 |
| In Bioconductor since | BioC 2.12 (R-3.0) (4.5 years) |
| 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, gespeR, RcppAnnoy |
| LinkingTo | |
| Suggests | BiocStyle, knitcitations, knitr, knitrBootstrap |
| SystemRequirements | |
| Enhances | |
| URL | github.com/girke-lab/eiR |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
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package in your R session.
Read more here: Source link
