Package: ADaCGH2
Version: 2.4.0
Date: 2014-01-29
Title: Analysis of big data from aCGH experiments using parallel
        computing and ff objects
Author: Ramon Diaz-Uriarte <rdiaz02@gmail.com> and Oscar M. Rueda
        <rueda.om@gmail.com>. Wavelet-based aCGH smoothing code from Li
        Hsu <lih@fhcrc.org> and Douglas Grove <dgrove@fhcrc.org>.
        Imagemap code from Barry Rowlingson
        <B.Rowlingson@lancaster.ac.uk>. HaarSeg code from Erez
        Ben-Yaacov; downloaded from
        <http://www.ee.technion.ac.il/people/YoninaEldar/Info/software/HaarSeg.htm>.
Maintainer: Ramon Diaz-Uriarte <rdiaz02@gmail.com>
Depends: R (>= 2.15.0), parallel, ff
Imports: bit, ffbase, DNAcopy, tilingArray, GLAD, waveslim, cluster,
        aCGH, snapCGH
Suggests: CGHregions, Cairo, limma
Enhances: Rmpi
Description: 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.
LazyLoad: Yes
License: GPL (>= 3)
URL:
biocViews: Microarray, CopyNumberVariation
Packaged: 2014-04-12 09:25:21 UTC; biocbuild
Built: R 3.1.0; i386-w64-mingw32; 2014-04-12 11:08:31 UTC; windows
Archs: i386, x64
