The number of k-mer matches between two DNA sequences as a function of k
2019
We study the number N_k of length-k word matches between pairs of evolutionarily related DNA sequences depending on k. We show that, under the Jukes-Cantor model, the number of substitutions per site that occurred since two sequences evolved from their last common ancestor, can be estimated from the slope of a certain function of N_k. This approach can be generalized from contiguous word matches to so-called spaced-word matches, where mismatches are allowed at certain pre-defined positions. Based on these theoretical results, we implemented a software program for alignment-free sequence comparison called Slope-SpaM. Test runs on simulated sequence data show that Slope-SpaM can accurately estimate phylogenetic distances for distance values up to around 0.5 substitutions per position. The statistical stability of our results is improved if spaced words are used instead of contiguous words. Unlike previous methods that are based on the number of (spaced) word matches, Slope-SpaM produces accurate results, even if sequences share only local homologies. Availability: https://github.com/burkhard-morgenstern/Slope-SpaM Contact: bmorgen@gwdg.de
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