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从下一代测序数据中进行病毒检测,验证和SNP发现的AI支持的管道

Abozar Ghorbani¹, Mahsa Rostami¹, Pietro Hiram Guzzi²

¹Nuclear Agriculture Research School, Nuclear Science and Technology Research Institute (NSTRI), Karaj, Iran.

Frontiers in genetics

|November 26, 2024

概括

这项研究引入了一种自动化生物信息学管道,用于检测病毒并使用下一代测序数据和人工智能识别单核酸多态 (SNP),增强病毒基因组学研究.

科学领域:

生物信息学是一种生物信息学.
基因组学就是基因组学.
病毒学病毒学

背景情况:

精确的病毒检测和单核酸多态 (SNP) 发现对于疾病管理和理解病毒演变至关重要.
下一代测序 (NGS) 产生了对基因组分析至关重要的大型数据集.

研究的目的:

从NGS数据开发一个自动化的生物信息管道,用于病毒检测,验证和SNP发现.
将先进的生物信息工具与人工智能集成在一起,以进行增强的病毒序列分析.
提高对病毒进化和遗传多样性的理解.

主要方法:

质量控制和适配器修剪原始测序的读数.
De novo组装未映射的读数以识别新的病毒序列.
使用自定义 Python 脚本将病毒读数与参考基因组进行比较的 SNP 发现.

主要成果:

成功识别病毒序列,证明已知和新兴病原体的管道有效性.
对病毒遗传多样性的全面分析,识别主导变异和变异.
恢复完整的病毒基因组,增强对病毒基因组学的理解.

结论:

开发的管道为病毒序列发现和SNP分析提供了强大的工具.
人工智能和生物信息学的整合提高了病毒基因组分析的准确性和敏感性.
这项研究为病毒基因组学领域做出了贡献,为研究病毒进化提供了一个强大的平台.

关键词:

人工智能辅助基因组学大熊猫在SNP中发现发现.生物信息学分析分析这是下一代测序.病毒基因组学病毒基因组学病毒检测病毒检测

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