TY - GEN
T1 - Algorithm for History Reconstruction of Viral Recombination Events
T2 - 2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018
AU - Gomez, Carlos
AU - Gonzalez, Gabriel
AU - Meneses, Esteban
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/12
Y1 - 2018/9/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85054508959&partnerID=8YFLogxK
U2 - 10.1109/IWOBI.2018.8464134
DO - 10.1109/IWOBI.2018.8464134
M3 - Contribución a la conferencia
AN - SCOPUS:85054508959
SN - 9781538675069
T3 - 2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings
BT - 2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 July 2018 through 20 July 2018
ER -