# Dissimilar Symmetric Word Pairs in the Human Genome

## TL;DR

This paper investigates the dissimilarity of symmetric word pairs in the human genome by comparing their inter-word distance distributions, introducing a new measure, and identifying pairs with notable dissimilarity to explore evolutionary features.

## Contribution

It proposes a novel dissimilarity measure for symmetric word pairs and applies it to the human genome to uncover potential evolutionary insights.

## Key findings

- Identified symmetric pairs with high dissimilarity in the human genome.
- Revealed patterns that may relate to evolutionary processes.
- Compared dissimilarity in complete and repeat-masked genomes.

## 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.