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

Analysis of Large-Scale Toxico-Genomic Data

Bioconductor version: Development (3.20)

Contains a set of functions to perform large-scale analysis of toxicogenomic data, providing a standardized data structure to hold information relevant to annotation, visualization and statistical analysis of toxicogenomic data.

Author: Sisira Nair [aut], Esther Yoo [aut], Christopher Eeles [aut], Amy Tang [aut], Nehme El-Hachem [aut], Petr Smirnov [aut], Jermiah Joseph [aut], Benjamin Haibe-Kains [aut, cre]

Maintainer: Benjamin Haibe-Kains <benjamin.haibe.kains at>

Citation (from within R, enter citation("ToxicoGx")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


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

ToxicoGx: An R Platform for Integrated Toxicogenomics Data Analysis HTML R Script
Reference Manual PDF


biocViews GeneExpression, Pharmacogenetics, Pharmacogenomics, Software
Version 2.9.0
In Bioconductor since BioC 3.12 (R-4.0) (3.5 years)
License MIT + file LICENSE
Depends R (>= 4.1), CoreGx
Imports SummarizedExperiment, BiocGenerics, S4Vectors, Biobase, BiocParallel, ggplot2, tibble, dplyr, caTools, downloader, magrittr, methods, reshape2, tidyr, data.table, assertthat, scales, graphics, grDevices, parallel, stats, utils, limma, jsonlite
System Requirements
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Suggests rmarkdown, testthat, BiocStyle, knitr, tinytex, devtools, PharmacoGx, xtable, markdown
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Follow Installation instructions to use this package in your R session.

Source Package ToxicoGx_2.9.0.tar.gz
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macOS Binary (x86_64) ToxicoGx_2.9.0.tgz
macOS Binary (arm64) ToxicoGx_2.9.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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