title: Supercomputers and biological sequence comparison algorithms.
abstract: Comparison of biological (DNA or protein) sequences provides insight into molecular structure, function, and homology and is increasingly important as the available databases become larger and more numerous. One method of increasing the speed of the calculations is to perform them in parallel. We present the results of initial investigations using two dynamic programming algorithms on the Intel iPSC hypercube and the Connection Machine as well as an inexpensive, heuristically-based algorithm on the Encore Multimax.
authors.affiliation: Yale University School of Medicine, New Haven, Connecticut 06520-2158.
authors.forename: N G
authors.initials: NG
authors.lastname: Core
authors.forename: E W
authors.initials: EW
authors.lastname: Edmiston
authors.forename: J H
authors.initials: JH
authors.lastname: Saltz
authors.forename: R M
authors.initials: RM
authors.lastname: Smith
mesh_terms: D000465:Algorithms; D001483:Base Sequence; D003199:Computer Systems; D005103:Expert Systems; D006801:Humans; D007256:Information Systems; D012984:Software