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

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 se...

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Detalles Bibliográficos
Autores principales: Xing, Yue, Li, Xiao, Gao, Xiang, Dong, Qunfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7330013/
https://www.ncbi.nlm.nih.gov/pubmed/32670259
http://dx.doi.org/10.3389/fmicb.2020.01502
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author Xing, Yue
Li, Xiao
Gao, Xiang
Dong, Qunfeng
author_facet Xing, Yue
Li, Xiao
Gao, Xiang
Dong, Qunfeng
author_sort Xing, Yue
collection PubMed
description 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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spelling pubmed-73300132020-07-14 MicroGMT: A Mutation Tracker for SARS-CoV-2 and Other Microbial Genome Sequences Xing, Yue Li, Xiao Gao, Xiang Dong, Qunfeng Front Microbiol Microbiology 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. Frontiers Media S.A. 2020-06-25 /pmc/articles/PMC7330013/ /pubmed/32670259 http://dx.doi.org/10.3389/fmicb.2020.01502 Text en Copyright © 2020 Xing, Li, Gao and Dong. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Xing, Yue
Li, Xiao
Gao, Xiang
Dong, Qunfeng
MicroGMT: A Mutation Tracker for SARS-CoV-2 and Other Microbial Genome Sequences
title MicroGMT: A Mutation Tracker for SARS-CoV-2 and Other Microbial Genome Sequences
title_full MicroGMT: A Mutation Tracker for SARS-CoV-2 and Other Microbial Genome Sequences
title_fullStr MicroGMT: A Mutation Tracker for SARS-CoV-2 and Other Microbial Genome Sequences
title_full_unstemmed MicroGMT: A Mutation Tracker for SARS-CoV-2 and Other Microbial Genome Sequences
title_short MicroGMT: A Mutation Tracker for SARS-CoV-2 and Other Microbial Genome Sequences
title_sort microgmt: a mutation tracker for sars-cov-2 and other microbial genome sequences
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7330013/
https://www.ncbi.nlm.nih.gov/pubmed/32670259
http://dx.doi.org/10.3389/fmicb.2020.01502
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