Data_Sheet_1_MicroGMT: A Mutation Tracker for SARS-CoV-2 and Other Microbial Genome Sequences.PDF

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.

随着SARS-CoV-2病毒在全球范围内的持续传播，研究人员往往需要迅速识别新测序的SARS-CoV-2基因组中的新型突变，以研究病毒的分子进化和流行病学。为此，我们开发了一个Python软件包，名为MicroGMT，该软件包接受原始序列读数或组装的基因组序列作为输入，并将其与数据库序列进行比较，以识别和表征插入缺失和点突变。尽管我们的默认设置针对SARS-CoV-2病毒进行了优化，但该软件包也可应用于任何其他微生物基因组。该软件可在GitHub上免费获取，网址为https://github.com/qunfengdong/MicroGMT。