RT Journal Article
SR Electronic
T1 An unsupervised algorithm for host identification in flaviviruses
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2020.04.20.050047
DO 10.1101/2020.04.20.050047
A1 Phuoc Truong
A1 Santiago Garcia-Vallve
A1 Pere Puigbò
YR 2020
UL http://biorxiv.org/content/early/2020/04/20/2020.04.20.050047.abstract
AB Early characterization is essential to control the spread of emerging viruses, such as the Zika Virus outbreak in 2014. A major challenge is the identification of potential hosts for novel viruses. We introduce an algorithm to identify the host range of a virus from its raw genome sequence that will be a useful tool to understand host-virus relationships.Competing Interest StatementThe authors have declared no competing interest.