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

Generifying and intuifying cross-platform omics analysis

Bioconductor version: Development (3.19)

This package offers a generic and intuitive solution for cross-platform omics data analysis. It has functions for import, preprocessing, exploration, contrast analysis and visualization of omics data. It follows a tidy, functional programming paradigm.

Author: Aditya Bhagwat [aut, cre], Richard Cotton [aut], Shahina Hayat [aut], Anna Halama [ctb], Laure Cougnaud [ctb], Rudolf Engelke [ctb], Hinrich Goehlmann [sad], Karsten Suhre [sad], Johannes Graumann [aut, sad, rth]

Maintainer: Aditya Bhagwat <aditya.bhagwat at uni-marburg.de>

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


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.


Reference Manual PDF


biocViews DataImport, DimensionReduction, GeneExpression, MassSpectrometry, Preprocessing, PrincipalComponent, RNASeq, Software, Transcription
Version 1.11.5
In Bioconductor since BioC 3.13 (R-4.1) (3 years)
License GPL-3
Depends R (>= 4.0)
Imports abind, assertive.base, assertive.files, assertive.numbers, assertive.sets, BiocFileCache, BiocGenerics, bit64, colorspace, data.table, dplyr, edgeR, ggplot2, ggrepel, graphics, grDevices, grid, gridExtra, limma, magrittr, matrixStats, methods, MultiAssayExperiment, parallel, pcaMethods, rappdirs, rlang, R.utils, readxl, S4Vectors, scales, stats, stringi, SummarizedExperiment, tidyr, tools, utils
System Requirements
URL https://github.com/bhagwataditya/autonomics
Bug Reports https://bitbucket.org/graumannlabtools/autonomics
See More
Suggests affy, AnnotationDbi, BiocManager, BiocStyle, diagram, GenomicRanges, GEOquery, hgu95av2.db, ICSNP, knitr, lme4, lmerTest, MASS, mixOmics, mpm, nlme, org.Hs.eg.db, org.Mm.eg.db, RCurl, remotes, rmarkdown, ropls, Rsubread, rtracklayer, seqinr, statmod, testthat, xml2
Linking To
Depends On Me
Imports Me
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Package Archives

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

Source Package
Windows Binary autonomics_1.11.5.zip (64-bit only)
macOS Binary (x86_64) autonomics_1.11.5.tgz
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/autonomics
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/autonomics
Bioc Package Browser https://code.bioconductor.org/browse/autonomics/
Package Short Url https://bioconductor.org/packages/autonomics/
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