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Package 353/389HostnameOS / ArchBUILDCHECKBUILD BIN
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 

Summary

Package: snapCGH
Version: 1.18.0
Command: /home/biocbuild/bbs-2.6-bioc/R/bin/R CMD build snapCGH
StartedAt: 2010-10-04 13:39:58 -0700 (Mon, 04 Oct 2010)
EndedAt: 2010-10-04 13:40:20 -0700 (Mon, 04 Oct 2010)
EllapsedTime: 22.5 seconds
RetCode: 0
Status:  OK 
PackageFile: snapCGH_1.18.0.tar.gz
PackageFileSize: 1003 KiB

Command output

* 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'