Hi Jen,
I know we are using Mercurial for Galaxy's own source code.
Is there a way for Galaxy to store and retrieve workflows  from Mercurial?

Thanks,
Ted

UCSC CBSE

On Aug 10, 2012, at 1:06 PM, Jennifer Jackson wrote:

> 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:
> http://wiki.g2.bx.psu.edu/Big%20Picture/Choices
> 
> 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.
> 
> Best,
> 
> Jen
> 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
>> 
>> MAIL:
>> 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
> http://galaxyproject.org
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