菌体探索:初学者探索原生生物世界中的病毒多样性
Carolin Charlotte Wendling1,2, Marie Vasse1,3, Sébastien Wielgoss1
1Department of Environmental Systems Science, Institute of Integrative Biology, ETH Zürich, Universitätstrasse 16, 8092 Zürich, Switzerland.
Briefings in bioinformatics
|September 3, 2025
概括
这一指南有助于研究人员在基因组数据中找到病毒,特别是用于菌体治疗的菌体. 它涵盖了病毒检测,分析和分类的自动化工具,帮助生物学家和生物信息学家.
科学领域:
- 病毒学
- 生物信息学
- 计算生物学
背景情况:
- 由于对抗生素耐药细菌的菌体疗法, 对从基因组数据中发现病毒的兴趣日益增长.
- 难以跟上众多自动病毒检测和分析工具的步伐.
- 需要一个指南,将菌体生物学与生物信息学联系起来,以便有效地应用工具.
研究的目的:
- 为环境样本中的病毒检测和表征提供导航计算工具.
- 帮助菌体生物学家和生物信息学家完成常规任务,如菌体检测,基因注释和分类.
- 突出最先进的,积极维护的菌体分析工具.
主要方法:
- 概述病毒检测方法的演变,从序列组成到机器学习和语言模型.
- 讨论用于 (亲) 菌体检测,基因注释和分类学的工具.
- 专注于可访问的网络和命令行接口工具,包括用于丝状菌体 (Inoviridae) 的工具.
主要成果:
- 该指南强调了用于病毒发现的计算工具的实际应用.
- 它详细介绍了复杂的元基因组数据集中的病毒序列分析方法.
- 它为自动化菌体分析提供了选择和应用适当工具的见解.
结论:
- 研究人员可以使用指导工具选择更好地探索病毒遗传多样性.
- 该指南支持病毒学和生物信息学的跨学科研究.
- 它有助于应用先进的计算技术来了解微生物生态系统.
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