Bioc2026 Registration Open!

ADaCGH2

Analysis of Big Data from aCGH Experiments using Parallel Computing and ff Objects

Bioconductor version: 3.23 · Package version: 2.52.0

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, GLAD, CGHseg. Most computations are parallelized (either via forking or with clusters, including MPI and sockets clusters) and use ff for storing data.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ADaCGH2")

Details

MaintainerRamon Diaz-Uriarte <rdiaz02@gmail.com>
AuthorRamon Diaz-Uriarte [aut, cre] (ORCID: <https://orcid.org/0000-0002-6637-9039>), Oscar M. Rueda [aut], Li Hsu [ctb] (Wavelet-based aCGH smoothing code), Douglas Grove [ctb] (Wavelet-based aCGH smoothing code), Barry Rowlingson [ctb] (Imagemap code), Erez Ben-Yaacov [ctb] (HaarSeg code), Edwin de Jonge [ctb] (Code from ffbase), Jan Wijffels [ctb] (Code from ffbase), Jan van der Laan [ctb] (Code from ffbase)
LicenseGPL (>= 3)
URLhttps://github.com/rdiaz02/adacgh2
Bug Reportshttps://github.com/rdiaz02/adacgh2
Downloads rank432
Source branchRELEASE_3_23
biocViewsCopyNumberVariation, Microarray, Software, aCGH

Documentation

Download

Dependencies

Depends: R (>= 3.2.0), parallel, ff

Imports: bit, DNAcopy, tilingArray, waveslim, cluster, aCGH

Suggests: CGHregions, Cairo, limma

Enhances: Rmpi, GLAD