Article ID Journal Published Year Pages File Type
433737 Theoretical Computer Science 2016 15 Pages PDF
Abstract

A growing number of measures of sequence similarity are being based on some underlying notion of relative compressibility. Within this paradigm, similar sequences are expected to share a large number of common substrings, or subsequences, or more complex patterns or motifs  , and so on. In this paper, measures of sequence similarity are introduced and studied in which patterns in a pair are considered similar if they coincide up to a preset number of mismatches, that is, within a bounded Hamming distance. It is shown here that for some such measures bounds are achievable that are slightly better than O(n2)O(n2). Preliminary experiments demonstrate the potential applicability to phylogeny and classification of these similarity measures.

Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
Authors
, , , ,