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DNAMAT: an efficient graphic matrix sequence homology algorithm and its application to structural analysis
Authors:Unger, Ron   Harel, David   Sussman, Joel L.
Affiliation:Department of Applied Mathematics Rehovot 76100, Israel
1Department of Structural Chemistry, The Weizmann Institute of Science Rehovot 76100, Israel
Abstract:We present a fast algorithm to produce a graphic matrix representationof sequence homology. The algorithm is based on lexicographicalordering of fragments. It preserves most of the options of asimple naive algorithm with a significant increase in speed.This algorithm was the basis for a program, called DNAMAT, thathas been extensively tested during the last three years at theWeizmann Institute of Science and has proven to be very useful.In addition we suggest a way to extend our approach to analysea series of related DNA or RNA sequences, in order to determinecertain common structural features. The analysis is done by‘summing’ a set of dot-matrices to produce an overallmatrix that displays structural elements common to most of thesequences. We give an example of this procedure by analysingtRNA sequences. Received on June 26, 1986; accepted on September 28, 1986
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