Dissimilar Symmetric Word Pairs in the Human Genome
Applications
2021-01-13 v2 Genomics
Abstract
In this work we explore the dissimilarity between symmetric word pairs, by comparing the inter-word distance distribution of a word to that of its reversed complement. We propose a new measure of dissimilarity between such distributions. Since symmetric pairs with different patterns could point to evolutionary features, we search for the pairs with the most dissimilar behaviour. We focus our study on the complete human genome and its repeat-masked version.
Keywords
Cite
@article{arxiv.1702.04197,
title = {Dissimilar Symmetric Word Pairs in the Human Genome},
author = {Ana Helena Tavares and Jakob Raymaekers and Peter J. Rousseeuw and Raquel M. Silva and Carlos A. C. Bastos and Armando Pinho and Paula Brito and Vera Afreixo},
journal= {arXiv preprint arXiv:1702.04197},
year = {2021}
}
Comments
Submitted 13-Feb-2017; accepted, after a minor revision, 17-Mar-2017; 11th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2017, Porto, Portugal, 21-23 June, 2017