Hi Diana,

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 factors:

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.


Galaxy team

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

email: dx...@psu.edu
office phone: 814-865-1022
dept. phone: 814-865-1895

Jennifer Jackson
The Galaxy User list should be used for the discussion of
Galaxy analysis and other features on the public server
at usegalaxy.org.  Please keep all replies on the list by
using "reply all" in your mail client.  For discussion of
local Galaxy instances and the Galaxy source code, please
use the Galaxy Development list:


To manage your subscriptions to this and other Galaxy lists,
please use the interface at:


Reply via email to