Analysis of data from aCGH experiments using parallel computing and ff objects

Bioconductor version: 2.9

Analysis and plotting of array CGH data. Allows usage of Circular Binary Segementation, wavelet-based smoothing (both as in Liu et al., and HaarSeg as in Ben-Yaacov and Eldar), HMM, BioHMM, GLAD, CGHseg. Most computations are parallelized.

Author: Ramon Diaz-Uriarte <rdiaz02 at>, Oscar M. Rueda < at>. Wavelet-based aCGH smoothing code from Li Hsu <lih at> and Douglas Grove <dgrove at>. Imagemap code from Barry Rowlingson <B.Rowlingson at>. HaarSeg code from Erez Ben-Yaacov; downloaded from <>

Maintainer: Ramon Diaz-Uriarte <rdiaz02 at>

To install this package, start R and enter:


To cite this package in a publication, start R and enter:



PDF R Script ADaCGH2 Overview
PDF   Reference Manual
Text   NEWS


biocViews Microarray, CopyNumberVariants
Depends R (>= 2.11.0), tilingArray, aCGH, waveslim, cluster, snapCGH, snowfall, ff
Suggests GLAD, DNAcopy, CGHregions, rlecuyer
System Requirements
License GPL (>= 3)
Depends On Me
Imports Me
Suggests Me
Version 1.4.0
Since Bioconductor 2.7 (R-2.12)

Package Downloads

Package Source ADaCGH2_1.4.0.tar.gz
Windows Binary (32- & 64-bit)
MacOS 10.5 (Leopard) binary ADaCGH2_1.4.0.tgz
Package Downloads Report Download Stats

Workflows »

Common Bioconductor workflows include:


Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center