MMonitor用于实时监测微生物群落,使用长读数
Timo N Lucas1, Ulrike Biehain2, Anupam Gautam3
1Institute for Biomedical Informatics (IBMI), University of Tübingen, Sand 14, 72076 Tübingen, Germany; Cluster of Excellence "Controlling Microbes to Fight Infections" (CMFI), University of Tübingen, Auf der Morgenstelle 28, 72074 Tübingen, Germany.
Cell reports methods
|December 24, 2025
概括
MMonitor是一个新的开源软件,用于对牛津纳米孔技术 (ONT) 测序数据的实时元基因组分析. 它可以轻松监测微生物群落,并生成高质量的元基因组组装基因组 (MAG).
科学领域:
- 微生物学 微生物学
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 微生物群落的实时监测提供了对环境动态的关键见解.
- 现有的元基因组分析工具往往缺乏用户友好性和实时监控功能,需要大量的计算专业知识.
研究的目的:
- 介绍MMonitor,一个开源软件平台,用于实时元基因组数据分析和可视化.
- 通过牛津纳米孔技术 (ONT) 测序数据,提供一个用户友好的解决方案来监测微生物群落.
主要方法:
- MMonitor包括一个桌面应用程序,GUI/CLI选项和一个基于Web的仪表板,用于交互式数据探索.
- 综合管道促进了自动化de novo组装和重建元基因组组装基因组 (MAG).
- 验证涉及跟踪人类肠道微生物种群和全基因组测序 (WGS) 数据分析.
主要成果:
- MMonitor仪表板可视化了分类学组成,质量评分,多样性指数以及随时间推移的分类学-元数据相关性.
- 高质量的注释MAG是由WGS数据生成的.
- MMonitor与现有的实时元基因组工具进行了比较,强调了其优势和局限性.
结论:
- MMonitor为实时元基因组分析提供了一个强大且易于使用的平台,特别是用于ONT测序数据.
- 该软件促进了有效的微生物社区监测和MAG重建,帮助各种研究应用.
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