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基因依赖的快速系谱聚类 (Bd-RPC) 能够在病毒中进行精确和高效的系谱估计

Bin Ma^1,2, Huimin Gong^1,2, Qianshuai Xu^1,2

¹State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, No.1 Shizishan Street, Wuhan, Hubei 430070, China.

Virus evolution

|February 16, 2024

概括

基因依赖的快速系谱聚类 (Bd-RPC) 提供了有效的病毒系谱分析. 这种新的框架准确地放置了新的病毒样本,改进了进化研究和传染病爆发研究.

科学领域:

人类遗传学是一个学科.
计算生物学计算生物学
病毒学病毒学

背景情况:

准确的家族遗传树对于理解进化过渡和生物学研究至关重要.
遗传学分析在估计准确性和计算效率方面面临挑战,特别是新出现的传染病.

研究的目的:

引入一种新的,高效的框架,即依赖基的快速基因组 (Bd-RPC),用于在病毒基因分析中快速放置新样本.
增强遗传学距离近似和树匹配,以提高准确性和速度.

主要方法:

实现的频率向量记录用于近似的基因学距离.
开发了类遗传学模拟化搜索算法,用于将重新编码的距离矩阵与类遗传树匹配.
引入了用于外国序列分析的indel (插入/删除) 识别.

主要成果:

与现有的软件 (PAGAN2,EPA-ng,TreeBeST) 相比,Bd-RPC表现出高精度和高效率.
通过使用Split和Robinson-Foulds距离对*Alphacoronavirus*,*Alphaherpesvirinae*和*Betacoronavirus*属进行性能评估.
Bd-RPC在所有测试病毒基因的新样本放置方面表现良好.

结论:

Bd-RPC 是一种高精度和高效的工具,用于病毒遗传学研究中的新样本放置.
该框架促进了新样本的快速分类,并有助于探索病毒进化研究.
一个用户友好的网站和GitHub存储库可用于Bd-RPC的访问和利用.

关键词:

插入/删除插入/删除新样本的放置新样本的放置.遗传学树是一个遗传学树.重编码是指重新编码.模拟火的模拟火

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