Galaxy itself will run on any recent MAC with the basic requirements
(python, mercurial, etc.). The standard set-up isn't computationally
intensive at all.
What makes a difference are the tools you intend to use, the size of the
data (genomes, datasets, libraries), the volume of throughput, and
processing speed expectations.
This wiki has some general guidelines that can help you decide between
how to use Galaxy (Main, Local, or Cloud) based on these and related
But what would be best, to address your specific question, is if you
could provide more information about what you intend to do. Others on
the mailing list would likely be able to comment about what type of
set-up they are using successfully for similar work.
On 8/10/12 8:53 AM, Diana Cox-Foster wrote:
I was wondering if anyone could comment on how memory/computational intensive a
local instal of Galaxy is? What type of computer (especially Macs) is needed
for a local install to run fairly well?
Thanks for any info--- Diana
Diana Cox-Foster, Professor
office: 536 ASI Bldg
501 ASI Bldg
Department of Entomology
Penn State University
University Park, PA, USA 16802
office phone: 814-865-1022
dept. phone: 814-865-1895
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