DocumentCode :
871562
Title :
Supercomputing in molecular biology: applications to sequence analysis
Author :
Maizel, J.V., Jr.
Author_Institution :
Nat. Cancer Inst., Frederick, MD, USA
Volume :
7
Issue :
4
fYear :
1988
Firstpage :
27
Lastpage :
30
Abstract :
Genetic data, accumulating at a rapid pace, are ideally suited to computer analysis. These data pose problems of a magnitude that requires supercomputing. The National Cancer Institute of the US National Institutes of Health (NIH) has developed the Advanced Scientific Computing Laboratory to utilize these data for basic research of relevance to cancer and other diseases. The facility and its use for several research problems of biomedical importance are discussed below. The problems considered are sequence comparisons, nucleic acid second structure prediction, Monte Carlo tests, molecular dynamics, and drug design. Computer time in spent various areas of research is summarized.<>
Keywords :
biology computing; molecular biophysics; reviews; Monte Carlo tests; National Cancer Institute; computer time; drug design; genetic data; molecular biology; molecular dynamics; nucleic acid second structure prediction; sequence analysis; sequence comparisons; supercomputing; Application software; Biology computing; Cancer; Diseases; Genetics; Laboratories; Monte Carlo methods; Scientific computing; Sequences; Testing;
fLanguage :
English
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
Publisher :
ieee
ISSN :
0739-5175
Type :
jour
DOI :
10.1109/51.20377
Filename :
20377
Link To Document :
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