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GCG work station

elliston at merck.com elliston at merck.com
Sat Jun 5 19:42:01 EST 1993


> .... we are planning to get a new computer/work station
>     to be dedicated to running the GCG software and a few other molecular
>     biology programs such as gel readers.  At the present time we have about
>     15-20 heavy users and 40 accounts total.  We are currently running the
>     GCG on a microvax with vms but this machine will not be available in the
>     future.  So the question is, for this rather restricited use, what would
>     be the best machine to cover our present needs and the near future?  I
>     have heard some praise for the Sun work stations in the past but I do not
>     know enough about them to make a decision.
> 
> I will listen and welcome any advice I can get...... Thanks Jeff Smith

I currently run the GCG package on a Vax cluster, and on an NFS/yellow pages
network of SGI's.  I personally would recommend the SGI (Indigo, Crimson, Onyx,
whatever suits you), due mainly to the software that runs on the platform, and
the support the hardware vendor gives.  I run modeling software on the Iris
(mine is an Indigo Elan) as well as the GCG package.  I dedicated a 2 Gb disk
to the package, but find that I really need more space.  I have added a lot of
the UNIX goodies available on the net as well.  The advantage of the SGI, is
that you can do really nice modeling, and run GCG and other molecular biology
software as well.  I haven't seen anything with the graphics of the Iris. 
Also, GCG runs nicely on a yellowpages net... I just have the batches run on
the machine that physically has the data disk mounted.  

Thats my $0.02.

Keith


================================================================================
Keith O. Elliston                       |  Phone: (908)594-6099                 
Dept. of Biological Data                |    Fax: (908)594-3407  
Merck Research Laboratories             |  Email: Keith_Elliston at merck.com 
Rahway, New Jersey  U.S.A.              |         Elliston at mbcl.rutgers.edu
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