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
), 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
You might also look at using Galaxy on the cloud as well:
On Nov 14, 2013, at 7:07 PM, Andrew Norman <anorman07(a)gmail.com> wrote:
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!
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