AutoVEM2: A flexible automated tool to analyze candidate key mutations and epidemic trends for virus

In our previous work, we developed an automated tool, AutoVEM, for real-time monitoring the candidate key mutations and epidemic trends of SARS-CoV-2. In this research, we further developed AutoVEM into AutoVEM2. AutoVEM2 is composed of three modules, including call module, analysis module, and plot...

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Bibliographic Details
Main Authors: Binbin Xi, Zixi Chen, Shuhua Li, Wei Liu, Dawei Jiang, Yunmeng Bai, Yimo Qu, Jerome Rumdon Lon, Lizhen Huang, Hongli Du
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
HBV
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037021003871