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:
On Nov 14, 2013, at 7:07 PM, Andrew Norman <anorma...@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!
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Please keep all replies on the list by using "reply all"
in your mail client. To manage your subscriptions to this
and other Galaxy lists, please use the interface at:
To search Galaxy mailing lists use the unified search at: