title: Efficient tools for comparative substring analysis.
abstract: This paper introduces an efficient implementation of approaches to alignment-free comparative genome analysis and genome-based phylogeny relying on substring composition. Distances derived from substring statistics have been proposed recently as a meaningful alternative to distances derived from sequence alignment. In particular, procaryote phylogenies based on comparative 5- and 6-mer analysis of whole proteomes have successfully been worked out. The present implementation extends the computation of composition-based distances so as to involve allk-mers for anyk up to any preset m aximum length K (including K=infinity). Remarkably, although there may be Theta(L(2)) distinct strings that occur in a given sequence of length L (and Theta(KL) of length k< or =K), it is shown that composition-based distances as well as many other details of interest in comparative genome analysis can be computed in O(L) time and space (with a constant that is independent of the size of K, that is, the same constant works for all K). A typical run with 2 sequences of altogether 1.5 million characters computes their composition-based distance in about 2s, a performance to be contrasted with the several hours needed, even when restricting attention to substrings of length at most 6, by the direct method in use. This paper.
authors.affiliation: Accademia Nazionale dei Lincei and DEI, Universitá di Padova, Italy. axa@cc.gatech.edu
authors.forename: Alberto
authors.initials: A
authors.lastname: Apostolico
authors.forename: Olgert
authors.initials: O
authors.lastname: Denas
authors.forename: Andreas
authors.initials: A
authors.lastname: Dress
mesh_terms: D000465:Algorithms; D023281:Genomics; D008962:Models, Theoretical