Without details about your incoming data rate and size, it's very difficult to answer this question. I suggest taking some of your data, running it on our public server (usegalaxy.org), and seeing how long it takes. RNA-seq tools (Tophat, Cufflinks, etc.) use 4 cores for a job, so you can estimate how many cores you might need (as well as estimate disk space).

You might also look at using Galaxy on the cloud as well: http://wiki.galaxyproject.org/CloudMan

Good luck,
J.


On Nov 14, 2013, at 7:07 PM, Andrew Norman <anorman07@gmail.com> wrote:

Hi all

I'd like to set up a local installation of Galaxy on a dedicated linux machine. I've taken a look at the Galaxy "appliance", but since I'm the only one in my lab who will be using it, it's outside my price range.

I'm going to be doing RNA seq read mapping and differential expression analysis. Can anyone recommend some minimum specs for the machine? I understand that more memory/cores will enable faster processing, but I'm willing to wait overnight for results to save some cash. Any advice you have about this will be helpful!

Thanks,
Andy
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