Researchers trained a machine-learning model to predict animal reservoirs or insect vectors for dozens of "orphan" viruses with unknown natural sources.
Using biorepository strains, researchers from the J. Craig Venter Institute and elsewhere profiled Zika virus consensus sequences, variant patterns, and phylogenetics.
The genomic analysis also found that drug resistance mutations have appeared locally, suggesting that the issue can still be addressed region by region.
