ACME

This is the released version of ACME; for the devel version, see ACME.

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

Algorithms for Calculating Microarray Enrichment (ACME)

Bioconductor version: Release (3.23)

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>

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 2.68.0, 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")

BiocManager::install("ACME")

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("ACME")

ACME	PDF	R Script
Reference Manual	PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Microarray, Normalization, Software, Technology
Version	2.68.0
In Bioconductor since	BioC 2.0 (R-2.5) (19.5 years)
License	GPL (>= 2)
Depends	R (>= 2.10), Biobase (>= 2.5.5), methods, BiocGenerics
Imports	graphics, stats, utils
System Requirements
URL	https://github.com/seandavi/ACME
Bug Reports	https://github.com/seandavi/ACME/issues

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Build Report	Build Report, r-universe

Package Archives

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

Source Package	ACME_2.68.0.tar.gz
Windows Binary (x86_64)	ACME_2.68.0.zip (64-bit only)
macOS Binary (big-sur-x86_64)	ACME_2.68.0.tgz
macOS Binary (sonoma-arm64)	ACME_2.68.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/ACME
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/ACME
Package Short Url	https://bioconductor.org/packages/ACME/
Package Downloads Report	Download Stats