MicroGMT: A Mutation Tracker for SARS-CoV-2 and Other Microbial Genome Sequences

被引:21
|
作者
Xing, Yue [1 ]
Li, Xiao [2 ]
Gao, Xiang [3 ]
Dong, Qunfeng [3 ,4 ]
机构
[1] Texas A&M Univ, Dept Vet Integrat Biosci, College Stn, TX USA
[2] Texas A&M Univ, Dept Mol & Cellular Med, College Stn, TX USA
[3] Loyola Univ Chicago, Stritch Sch Med, Dept Med, Maywood, IL 60660 USA
[4] Loyola Univ Chicago, Ctr Biomed Informat, Stritch Sch Med, Maywood, IL 60660 USA
关键词
COVID-19; SARS-CoV-2; molecular evolution; epidemiology; bioinformatics; mutation; microbial; virus; FRAMEWORK;
D O I
10.3389/fmicb.2020.01502
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
With the continued spread of SARS-CoV-2 virus around the world, researchers often need to quickly identify novel mutations in newly sequenced SARS-CoV-2 genomes for studying the molecular evolution and epidemiology of the virus. We have developed a Python package, MicroGMT, which takes either raw sequence reads or assembled genome sequences as input and compares against database sequences to identify and characterize indels and point mutations. Although our default setting is optimized for SARS-CoV-2 virus, the package can be also applied to any other microbial genomes. The software is freely available at Github URL https://github.com/qunfengdong/MicroGMT.
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页数:4
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