Dissimilar Symmetric Word Pairs in the Human Genome View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2017

AUTHORS

Ana Helena Tavares , Jakob Raymaekers , Peter J. Rousseeuw , Raquel M. Silva , Carlos A. C. Bastos , Armando Pinho , Paula Brito , Vera Afreixo

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. More... »

PAGES

248-256

References to SciGraph publications

Book

TITLE

11th International Conference on Practical Applications of Computational Biology & Bioinformatics

ISBN

978-3-319-60815-0
978-3-319-60816-7

From Grant

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-60816-7_30

DOI

http://dx.doi.org/10.1007/978-3-319-60816-7_30

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1086078734


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