To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("ACME")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
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 <sdavis2 at mail.nih.gov>
Maintainer: Sean Davis <sdavis2 at mail.nih.gov>
Citation (from within R,
enter citation("ACME")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("ACME")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ACME")
R Script | ACME | |
Reference Manual |
biocViews | Bioinformatics, Software |
Version | 2.18.0 |
In Bioconductor since | BioC 2.0 (R-2.5) |
License | GPL (>= 2) |
Depends | R (>= 2.10), Biobase(>= 2.5.5), methods |
Imports | graphics, stats |
Suggests | |
System Requirements | |
URL | http://watson.nci.nih.gov/~sdavis |
Depends On Me | |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | ACME_2.18.0.tar.gz |
Windows Binary | ACME_2.18.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | ACME_2.18.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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