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Bioconductor 3.22 Released

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bioassayR

This is thereleased version of bioassayR; for the devel version, seebioassayR.

Cross-target analysis of small molecule bioactivity

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DOI: 10.18129/B9.bioc.bioassayR


Bioconductor version: Release (3.22)

bioassayR is a computational tool that enables simultaneous analysis of thousands of bioassay experiments performed over a diverse set of compounds and biological targets. Unique features include support for large-scale cross-target analyses of both public and custom bioassays, generation of high throughput screening fingerprints (HTSFPs), and an optional preloaded database that provides access to a substantial portion of publicly available bioactivity data.

Author: Tyler Backman, Ronly Schlenk, Thomas Girke

Maintainer: Thomas Girke <tgirke at citrus.ucr.edu>

Citation (from within R, entercitation("bioassayR")):

Installation

To install this package, start R (version "4.5") and enter:

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

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

Documentation

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

browseVignettes("bioassayR")
bioassayR Introduction and ExamplesHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsBioinformatics,CellBasedAssays,DataImport,ImmunoOncology,Infrastructure,Metabolomics,MicrotitrePlateAssay,Proteomics,Software,Visualization
Version1.48.0
In Bioconductor sinceBioC 2.13 (R-3.0) (12 years)
LicenseArtistic-2.0
DependsR (>= 3.5.0),DBI (>= 0.3.1),RSQLite (>= 1.0.0), methods,Matrix,rjson,BiocGenerics(>= 0.13.8)
ImportsXML,ChemmineR
System Requirements
URLhttps://github.com/girke-lab/bioassayR
Bug Reportshttps://github.com/girke-lab/bioassayR/issues
See More
SuggestsBiocStyle,RCurl,biomaRt,knitr,knitcitations,knitrBootstrap,testthat,ggplot2,rmarkdown
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagebioassayR_1.48.0.tar.gz
Windows Binary (x86_64) bioassayR_1.48.0.zip (64-bit only)
macOS Binary (x86_64)bioassayR_1.48.0.tgz
macOS Binary (arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/bioassayR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/bioassayR
Bioc Package Browserhttps://code.bioconductor.org/browse/bioassayR/
Package Short Urlhttps://bioconductor.org/packages/bioassayR/
Package Downloads ReportDownload Stats

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