Improving the efficiency of dot-matrix similarity searches through use of an oligomer table

Dot-matrix sequence similarity searches can be greatly speeded up through use of a table listing all locations of short oligomers in one of the sequences to find potential similarities with a second sequence. The algorithm described finds similarities between two sequences of lengths M and N, comparing L residues at a time, with an efficiency of L X M X N/(SK) where S is the alphabet size, and k is the length of the oligomer. For nucleic acids, in which S = 4, use of a tetranucleotide table results in an efficiency of L X M X N/256. The simplicity of the approach allows for a straightforward calculation of the level of similarities expected to be found for given search parameters. Furthermore, the storage required is minimal, allowing for even large sequences to be compared on small microcomputers. Theoretical considerations regarding the use of this search are discussed.