In article <34333 at mimsy.umd.edu> comp-bio at genbank.bio.net writes:
>My question is: In your opinion, what would make an ideal computer system
>for your research efforts in terms of performance, ease of use,
>accessibility, hardware and software, etc.?
Could you please tell us what you mean by a biocomputation lab? Biocomputation
is diverse as:
refining x-ray structures (FP-numerical)
2D image processing (FP-numerical)
sequence searching and alignment
(database / integer operations / statistics)
molecular dynamics / monte carlo / E-minimization (FP-numerical)
molecular graphics (graphics / software engineering)
3D reconstruction & tomography (FP-numerical, graphics)
ecosystem modeling (finite element / FP-numerical)
protein structure prediction (FP-numerical / neural nets
/ massive parallelization)
etc., etc.
I contend that biocomputation is nearly as broad a field as computation in
general. Each of the above topics has its own SPECIFIC requirements; I've
tried to indicate in parentheses a few computational "key words" pertinent to
each of these areas. Neither the overall list nor the key-word list is
exhaustive.
Just what do you mean when you say "biocomputation"? I asked you that by
personal electronic mail when you first posted your request, but although
you thanked me for some other advice I enclosed, you never answered the
question. As posed, the term "biocomputation lab" is too poorly defined to
allow a meaningful reply. I do molecular graphics and protein structure
prediction, and my needs are completely different from those of someone
searching a gene bank.
-P.
************************f*u*cn*rd*ths*u*cn*gt*a*gd*jb**************************
Peter S. Shenkin, Department of Chemistry, Barnard College, New York, NY 10027
(212)854-1418 shenkin at cunixf.cc.columbia.edu(Internet) shenkin at cunixf(Bitnet)
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