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ACME

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

All Bioconductor versions of ACME

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, 2.11, 2.10, 2.9, 2.8, 2.7, 2.6, 2.5

Algorithms for Calculating Microarray Enrichment (ACME)

Bioconductor version: 3.24 · Package version: 2.69.0

ACME (Algorithms for Calculating Microarray Enrichment) is a set of tools for analysing tiling array ChIP/chip, DNAse hypersensitivity, or other experiments that result in regions of the genome showing "enrichment". It does not rely on a specific array technology (although the array should be a "tiling" array), is very general (can be applied in experiments resulting in regions of enrichment), and is very insensitive to array noise or normalization methods. It is also very fast and can be applied on whole-genome tiling array experiments quite easily with enough memory.

Author: Sean Davis [aut, cre]

Maintainer: Sean Davis <seandavi at gmail.com>

DOI: 10.18129/B9.bioc.ACME

Citation

From within R, enter citation("ACME"):

Sean Davis. ACME: Algorithms for Calculating Microarray Enrichment (ACME). doi:10.18129/B9.bioc.ACME, R package version 2.69.0, https://bioconductor.org/packages/ACME.

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("ACME")

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

Details

Version2.69.0
LicenseGPL (>= 2)
URLhttps://github.com/seandavi/ACME
Bug Reportshttps://github.com/seandavi/ACME/issues
Last updated2026-04-28
In Bioconductor sinceBioC 2.5 or earlier (R-2.10) (16 years)
Downloads rank409 of 2,456
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsMicroarray, Normalization, Software, Technology
Package Short Url https://bioconductor.org/packages/ACME/

Documentation

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

browseVignettes("ACME")
ACME PDF R Script
Reference ManualPDF

Download

Follow the installation instructions to use this package in your R session.

Source packageACME_2.69.0.tar.gz
Windows binary (x86_64)ACME_2.69.0.zip
macOS binary (arm64)ACME_2.69.0.tgz
macOS binary (x86_64)ACME_2.69.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/ACME
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/ACME
Package Downloads ReportDownload Stats
Dependencies

Depends: R (>= 2.10), Biobase (>= 2.5.5), methods, BiocGenerics

Imports: graphics, stats, utils

Reverse dependencies

Suggests Me (1): oligo