[BioC] win 64bit and general BioC computing power?

Adaikalavan Ramasamy ramasamy at cancer.org.uk
Thu Jun 17 18:08:10 CEST 2004

If you need RMA, GCRMA and other pre-processing tools done once only
(hopefully), it might be just worthwhile asking someone with Unix/Linux
servers to do this for you.

It might be also useful for you to have an account on *nix. Using R on
Unix is very similar to using it on Windows, so not a steep learning
curve. You can even login into your account from Windows using Xwindows
tools like ssh or Exceed. This way you have access to both operating
systems at the same time.

In a years time, memory will be cheaper and GCRMA may be rewritten (like
RMA was) more efficiently. I would be rather buy a reasonable machine
now and add 1 GB memory in a years time or connect to *nix than buy a
super-expensive machine now.

On Thu, 2004-06-17 at 15:45, Matthew Hannah wrote:
> Hi,
> This has been discussed before, but please humour me and let me know your opinions.
> Currently I have 2Gz and 1GB RAM, win2k.
> I understand that 64bit R/BioC is only available for Linux at present, I currently install
> R using the win32.exe build and libraries provided, when is it likely that win64.exe 
> will be available, or it is possible to source build (not that I really understand what 
> that means or if it is difficult..). More general is windows really 64bit, does this
> help with things like running out of memory in excel? Or would a good 32bit processor
> be the better buy?
> Thanks to the justGCRMA team I can now process the 60 affy chips I need to, but this 
> may in the next year go to 120. I guess I'd like to be able to ReadAffy, gcrma, 
> fitaffyPLM and use LIMMA certainly with 60, but hopefully with more, without it being
> painfully slow.
> I'd like to be able to use various clustering methods, I've tried with hclust but it
> runs out of memory with more than several thousand genes (there's 23k on the chip).
> I've heard that hierarchical clustering is not feasible on such large amounts of genes
> due to the exponential increase in memory usage - is this true, how much RAM would you
> need for 23k genes, 60-100 chips?
> When using some functions, such as 4 x 4 display of image plots of AffyPLM or scatter-
> plots of multiple chip comparisons, they can take an age to display. As BioC is mostly
> 2D, would a good graphics card have much effect or is it just a processor/RAM thing, and
> leave the graphics cards for gamers?
> Generally I just want a faster machine as in the long term, not having to wait so much
> would save a lot. But I want to upgrade to something without finding it is not 
> up to the job in 6 months or a year. I use too many general windows programs, and I'm
> networked so I don't really want to move away from windows unless there's a huge gain to
> be made...
> So, what would you consider before deciding...
> Cheers
> Matt
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