DNAMAT: an efficient graphic matrix sequence homology algorithm and its application to structural analysis

R. Unger, David Harel, Joel L. Sussman

Research output: Contribution to journalArticlepeer-review

Abstract

We present a fast algorithm to produce a graphic matrix representation of sequence homology. The algorithm is based on lexicographical ordering of fragments. It preserves most of the options of a simple naive algorithm with a significant increase in speed. This algorithm was the basis for a program, called DNAMAT, that has been extensively tested during the last three years at the Weizmann Institute of Science and has proven to be very useful. In addition we suggest a way to extend our approach to analyse a series of related DNA or RNA sequences, in order to determine certain common structural features. The analysis is done by ‘summing' a set of dot-matrices to produce an overall matrix that displays structural elements common to most of the sequences. We give an example of this procedure by analysing tRNA sequences.
Original languageAmerican English
Pages (from-to)283-289
JournalComputer applications in the biosciences: CABIOS
Volume2
Issue number4
StatePublished - 1986

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