Algorithm for History Reconstruction of Viral Recombination Events: Preliminary Results

Carlos Gomez, Gabriel Gonzalez, Esteban Meneses

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

An accurate understanding of the evolutionary history of virus species could help in the development of prevention measures or new treatments. Most current tools offer phylogenetic analysis focused on mutations as the main evolutionary mechanism and ignore inconsistencies caused by recombination events. This work intends to describe an algorithm for history reconstruction of recombination events detected from a set of viral genomic sequences. Preliminary results are provided from the analysis of some sequences of Human Adenovirus D with the proposed algorithm.

Original languageEnglish
Title of host publication2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538675069
DOIs
StatePublished - 12 Sep 2018
Event2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - San Carlos, Costa Rica
Duration: 18 Jul 201820 Jul 2018

Publication series

Name2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings

Conference

Conference2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018
Country/TerritoryCosta Rica
CitySan Carlos
Period18/07/1820/07/18

Fingerprint

Dive into the research topics of 'Algorithm for History Reconstruction of Viral Recombination Events: Preliminary Results'. Together they form a unique fingerprint.

Cite this