[BioC] aCGH package - performance Issues

Julian Lee julian at omniarray.com
Tue May 6 11:03:33 CEST 2008


Hi all,

I would like to know if there's a way to tweak the performance of the aCGH package, particularly the find.hmm.states function

Input dataset
Agilent CNV
31 samples
200,000 clones

Hardware
2 Intel Xeon Dual Core 3GHz (total of 4CPUs)
4 GB RAM
Windows 2003 Server Edition

Software
R version 2.7.0 (2008-04-22) 
i386-pc-mingw32 

locale:
LC_COLLATE=English_United States.1252;LC_CTYPE=English_United States.1252;LC_MONETARY=English_United States.1252;LC_NUMERIC=C;LC_TIME=English_United States.1252

attached base packages:
[1] tools     splines   stats     graphics  grDevices utils     datasets 
[8] methods   base     

other attached packages:
[1] aCGH_1.14.0     sma_0.5.15      multtest_1.20.0 Biobase_2.0.0  
[5] survival_2.34-1 cluster_1.11.10



Function Call
hmm(ex.acgh)<-find.hmm.states(ex.acgh)


I am familiar with OpenMP. Is it possible to include these openMP pragmas into the function to speed up the computation? This is a concern as i will be moving onto an Illumina SNP dataset with 59 samples and 400,000 clones. 

Or would running it on a Linux machine be faster? 

dear moderators, Please direct me to the right forum if you think that this should be on the BioC-Dev mailing list instead.

regards

thank you

-- 
Julian Lee
Bioinformatics Specialist
Cellular and Molecular Research
National Cancer Center Singapore



More information about the Bioconductor mailing list