ADaCGH2: Analysis of big data from aCGH experiments using parallel computing and ff objects
Version 2.16.0

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, 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 <[email protected]> and Oscar M. Rueda <[email protected]>. Wavelet-based aCGH smoothing code from Li Hsu <[email protected]> and Douglas Grove <[email protected]>. Imagemap code from Barry Rowlingson <[email protected]>. HaarSeg code from Erez Ben-Yaacov; downloaded from <http://www.ee.technion.ac.il/people/YoninaEldar/Info/software/HaarSeg.htm>.
Bioconductor views CopyNumberVariants Microarray
MaintainerRamon Diaz-Uriarte <[email protected]>
LicenseGPL (>= 3)
Version2.16.0
URL https://github.com/rdiaz02/adacgh2
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("ADaCGH2")

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ADaCGH2 documentation built on May 31, 2017, 3:41 p.m.