snapCGH 1.18.0 John Marioni
 | Snapshot Date: 2010-10-04 11:22:20 -0700 (Mon, 04 Oct 2010) |  | URL: https://hedgehog.fhcrc.org/bioconductor/branches/RELEASE_2_6/madman/Rpacks/snapCGH |  | Last Changed Rev: 47149 / Revision: 49923 |  | Last Changed Date: 2010-05-26 11:24:55 -0700 (Wed, 26 May 2010) |  
  | wilson1  | Linux (openSUSE 11.1) / x86_64  | [ OK ] |  OK  |  | 
| liverpool  | Windows Server 2003 R2 (32-bit) / x64  |  OK  |  OK  |  OK  | 
| gewurz  | Windows Server 2008 R2 Enterprise (64-bit) / x64  |  OK  |  OK  |  OK  | 
| pelham  | Mac OS X Leopard (10.5.8) / i386  |  OK  |  OK  |  OK  | 
* checking for file 'snapCGH/DESCRIPTION' ... OK
* preparing 'snapCGH':
* checking DESCRIPTION meta-information ... OK
* cleaning src
* installing the package to re-build vignettes
* installing *source* package 'snapCGH' ...
** libs
gcc -std=gnu99 -I/home/biocbuild/bbs-2.6-bioc/R/include  -I/usr/local/include    -fpic  -g -O2 -c optimizer.c -o optimizer.o
gcc -std=gnu99 -shared -L/usr/local/lib64 -o snapCGH.so optimizer.o -L/home/biocbuild/bbs-2.6-bioc/R/lib -lR
installing to /tmp/Rinst929868891/snapCGH/libs
** R
** data
** inst
** preparing package for lazy loading
**************************************************************************
   The data format for the CNA object will be changed in version 1.23.0 
     Instead of a data frame it will be a list of 3 (or more) objects 
     chrom and maploc will be vectors and CN/LOH data will be a matrix 
**************************************************************************
######################################################################################
Have fun with GLAD
For smoothing it is possible to use either
the AWS algorithm (Polzehl and Spokoiny, 2002)
or the HaarSeg algorithm (Ben-Yaacov and Eldar, Bioinformatics,  2008)
If you use the package with AWS, please cite:
Hupe et al. (Bioinformatics, 2004) and Polzehl and Spokoiny (2002)
If you use the package with HaarSeg, please cite:
Hupe et al. (Bioinformatics, 2004) and (Ben-Yaacov and Eldar, Bioinformatics, 2008)
For fast computation it is recommanded to use
the daglad function with smoothfunc=haarseg
######################################################################################
New options are available in daglad: see help for details.
** help
*** installing help indices
** building package indices ...
** testing if installed package can be loaded
* DONE (snapCGH)
* creating vignettes ... OK
* cleaning src
* removing junk files
* checking for LF line-endings in source and make files
* checking for empty or unneeded directories
* building 'snapCGH_1.18.0.tar.gz'