SNiPgenie: a tool for microbial SNP site detection from whole-genome sequencing data.

Access microbiology Pub Date : 2025-09-22 eCollection Date: 2025-01-01 DOI:10.1099/acmi.0.001021.v3
Damien Farrell, Viktor Perets, Stephen V Gordon
{"title":"SNiPgenie: a tool for microbial SNP site detection from whole-genome sequencing data.","authors":"Damien Farrell, Viktor Perets, Stephen V Gordon","doi":"10.1099/acmi.0.001021.v3","DOIUrl":null,"url":null,"abstract":"<p><p>Whole-genome sequencing (WGS) of microbial pathogens provides a high-resolution approach to antibiotic resistance profiling, lineage classification and outbreak surveillance. Identification of SNPs across the genome by alignment against a reference genome is the highest precision method of delineating strains. SNiPgenie is a bioinformatics pipeline designed to perform the entire variant calling process across many samples simultaneously. It was developed in the context of developing WGS tools to support the tracking of infection transmission of <i>Mycobacterium bovis</i> in livestock and wildlife, the principal causative agent of bovine tuberculosis in these populations. SNiPgenie may, however, be applied to other bacteria where evolutionary change can be tracked accurately using SNPs. The tool comes with both a command line and a user-friendly graphical interface. It can run on standard desktop or laptop computers. SNiPgenie and its documentation are available at https://github.com/dmnfarrell/snipgenie.</p>","PeriodicalId":94366,"journal":{"name":"Access microbiology","volume":"7 9","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12476146/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Access microbiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1099/acmi.0.001021.v3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Whole-genome sequencing (WGS) of microbial pathogens provides a high-resolution approach to antibiotic resistance profiling, lineage classification and outbreak surveillance. Identification of SNPs across the genome by alignment against a reference genome is the highest precision method of delineating strains. SNiPgenie is a bioinformatics pipeline designed to perform the entire variant calling process across many samples simultaneously. It was developed in the context of developing WGS tools to support the tracking of infection transmission of Mycobacterium bovis in livestock and wildlife, the principal causative agent of bovine tuberculosis in these populations. SNiPgenie may, however, be applied to other bacteria where evolutionary change can be tracked accurately using SNPs. The tool comes with both a command line and a user-friendly graphical interface. It can run on standard desktop or laptop computers. SNiPgenie and its documentation are available at https://github.com/dmnfarrell/snipgenie.

SNiPgenie:从全基因组测序数据中检测微生物SNP位点的工具。
微生物病原体的全基因组测序(WGS)为抗生素耐药性分析、谱系分类和疫情监测提供了一种高分辨率方法。通过与参考基因组比对来鉴定整个基因组的snp是描述菌株的最高精度方法。SNiPgenie是一种生物信息学管道,旨在同时跨多个样本执行整个变体调用过程。它是在开发WGS工具的背景下开发的,以支持跟踪牛分枝杆菌在牲畜和野生动物中的感染传播,牛分枝杆菌是这些人群中牛结核病的主要病原体。然而,SNiPgenie可能会应用于其他细菌,在这些细菌中,可以使用snp精确地追踪进化变化。该工具附带命令行和用户友好的图形界面。它可以在标准的台式机或笔记本电脑上运行。SNiPgenie及其文档可在https://github.com/dmnfarrell/snipgenie获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.00
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信