Publication
Title
Dissimilar symmetric word pairs in the human genome
Author
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.
Language
English
Source (book)
11th International Conference on Practical Applications of Computational Biology & Bioinformatics
Source (series)
Advances in Intelligent Systems and Computing ; 616
Publication
Cham : Springer , 2017
ISBN
978-3-319-60815-0
DOI
10.1007/978-3-319-60816-7_30
Volume/pages
p. 248-256
ISI
000465514300030
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Publication type
Subject
External links
Web of Science
Record
Identifier
Creation 27.02.2024
Last edited 07.03.2024
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