用VEBA 2.0揭开微生物领域:一个模块化生物信息学套件,用于从短读或长读测序中从端到端的基因组解析的原生生物, (微) 单核生物和病毒多基因组
Josh L Espinoza1,2, Allan Phillips1,2, Melanie B Prentice3
1Department of Environment and Sustainability, J. Craig Venter Institute, La Jolla, CA 92037, USA.
Nucleic acids research
|June 23, 2024
概括
更新后的病毒真核细菌考古学 (VEBA) 2.0软件分析了原生生物,真核生物和病毒微生物组. 该工具增强了对多种生态系统和生物技术应用的基因组解析微生物组研究.
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.
- 基因组学就是基因组学.
背景情况:
- 微生物组研究传统上侧重于 prokaryotes,忽略了真核生物和病毒.
- 现有的软件往往不支持全面的微生物组分析.
- 了解整个微生物群落对于生态系统的健康和生产力至关重要.
研究的目的:
- 推出VEBA 2.0,一个增强的开源软件套件,用于基因组解析微生物组分析.
- 扩展分析能力超越 prokaryotes,包括真核生物和病毒.
- 为生物勘探和在宿主基因组内识别集成病毒提供工具.
主要方法:
- 开发VEBA2.0与一个集群的微核细胞蛋白质数据库.
- 快速基因组/蛋白质水平聚类和生物勘探特征的实施.
- 包括非编码/有机体基因建模,分类学/路径概况以及长读支持与容器化.
主要成果:
- 维巴2.0提供了微核细胞蛋白的全面数据库.
- 该软件能够快速对各种微生物群落进行聚类和分析.
- 案例研究表明,在海洋,永久土和宿主相关微生物群中成功应用,包括病毒识别.
结论:
- 通过整合原生生物,真核生物和病毒分析,VEBA 2.0显著推进了微生物组研究.
- 该软件为基因组和生物技术应用提供了一个强大且易于使用的平台.
- VEBA 2.0 弥合了研究复杂微生物生态系统的差距.
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