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eiR

This is the development version of eiR; for the stable release version, see eiR.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12

Accelerated similarity searching of small molecules


Bioconductor version: Development (3.24)

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")):

Kevin Horan, Yiqun Cao and Tyler Backman. eiR: Accelerated similarity searching of small molecules. doi:10.18129/B9.bioc.eiR, R package version 1.53.0, https://bioconductor.org/packages/eiR.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("eiR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("eiR")
eiR: Accelerated Similarity Searching of Small Molecules HTML R Script
Reference ManualPDF
NEWSText
INSTALLText
LICENSEText

Details

biocViews BiomedicalInformatics, CellBasedAssays, Cheminformatics, Clustering, DataImport, Infrastructure, Metabolomics, MicrotitrePlateAssay, Pharmacogenetics, Pharmacogenomics, Proteomics, Software, Visualization
Version1.53.0
In Bioconductor sinceBioC 2.12 (R-3.0) (13.5 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, RcppAnnoy (>= 0.0.9)
System Requirements
URLhttps://github.com/girke-lab/eiR
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Suggests BiocStyle, knitcitations, knitr, knitrBootstrap, rmarkdown, RSQLite, codetools
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package eiR_1.53.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64) eiR_1.53.0.tgz
macOS Binary (sonoma-arm64) eiR_1.53.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/eiR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/eiR
Package Short Url https://bioconductor.org/packages/eiR/
Package Downloads ReportDownload Stats