AutoVEM2: a flexible automated tool to analyze candidate key mutations and epidemic trends for virus
Binbin Xi, Zixi Chen, Shuhua Li, Wei Yong Liu, Dawei Jiang, Yunmeng Bai, Yimo Qu, Jerome Rumdon Lon, Lizhen Huang, Hongli Du
AutoVEM2 is a flexible automated tool for analyzing candidate key mutations and epidemic trends in viruses, demonstrating its effectiveness with SARS-CoV-2, HBV, and HPV-16.
Computational and Structural Biotechnology Journal · Jan 1, 2021Peer-reviewedGenomics