snapCGH 1.16.0
John Marioni
| Snapshot Date: 2009-12-13 23:30:35 -0800 (Sun, 13 Dec 2009) | | URL: https://hedgehog.fhcrc.org/bioconductor/branches/RELEASE_2_5/madman/Rpacks/snapCGH | | Last Changed Rev: 42684 / Revision: 43539 | | Last Changed Date: 2009-10-27 16:33:29 -0700 (Tue, 27 Oct 2009) |
| wilson2 | Linux (openSUSE 11.1) / x86_64 | OK | OK | |
| liverpool | Windows Server 2003 R2 (32-bit) / x64 | OK | OK | OK |
| pitt | Mac OS X Tiger (10.4.11) / i386 | OK | OK | [ OK ] |
| pelham | Mac OS X Leopard (10.5.8) / i386 | OK | OK | OK |
INSTALLATION WITH 'R CMD INSTALL --preclean --library=snapCGH.buildbin-libdir snapCGH_1.16.0.tar.gz'
* installing *source* package ‘snapCGH’ ...
** libs
** arch - i386
gcc -arch i386 -std=gnu99 -I/Library/Frameworks/R.framework/Resources/include -I/Library/Frameworks/R.framework/Resources/include/i386 -I/usr/local/include -fPIC -g -O2 -c optimizer.c -o optimizer.o
gcc -arch i386 -std=gnu99 -dynamiclib -Wl,-headerpad_max_install_names -mmacosx-version-min=10.4 -undefined dynamic_lookup -single_module -multiply_defined suppress -L/usr/local/lib -o snapCGH.so optimizer.o -F/Library/Frameworks/R.framework/.. -framework R -Wl,-framework -Wl,CoreFoundation
** arch - ppc
gcc -arch ppc -std=gnu99 -I/Library/Frameworks/R.framework/Resources/include -I/Library/Frameworks/R.framework/Resources/include/ppc -I/usr/local/include -fPIC -g -O2 -c optimizer.c -o optimizer.o
gcc -arch ppc -std=gnu99 -dynamiclib -Wl,-headerpad_max_install_names -mmacosx-version-min=10.4 -undefined dynamic_lookup -single_module -multiply_defined suppress -L/usr/local/lib -o snapCGH.so optimizer.o -F/Library/Frameworks/R.framework/.. -framework R -Wl,-framework -Wl,CoreFoundation
** R
** data
** inst
** preparing package for lazy loading
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material. To view, type
'openVignette()'. To cite Bioconductor, see
'citation("Biobase")' and for packages 'citation(pkgname)'.
Loading required package: pixmap
Attaching package: 'DNAcopy'
The following object(s) are masked from package:tilingArray :
segment
######################################################################################
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.
Loading required package: survival
Loading required package: splines
Loading required package: multtest
Attaching package: 'aCGH'
The following object(s) are masked from package:stats :
heatmap
** help
*** installing help indices
** building package indices ...
* DONE (snapCGH)