ADaCGH2: Analysis of big data from aCGH experiments using parallel computing and ff objects

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 (either via forking or with clusters, including MPI and sockets clusters) and use ff for storing data.

Package details

AuthorRamon Diaz-Uriarte <> and Oscar M. Rueda <>. Wavelet-based aCGH smoothing code from Li Hsu <> and Douglas Grove <>. Imagemap code from Barry Rowlingson <>. HaarSeg code from Erez Ben-Yaacov; downloaded from <>.
Bioconductor views CopyNumberVariants Microarray
MaintainerRamon Diaz-Uriarte <>
LicenseGPL (>= 3)
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


Try the ADaCGH2 package in your browser

Any scripts or data that you put into this service are public.

ADaCGH2 documentation built on Nov. 8, 2020, 4:57 p.m.