基于高通量测序数据的微生物检测算法研究进展

Progress in algorithms of microorganism detection based on high throughput sequencing data

新一代高通量测序技术的发展,推动了多个相关研究领域的发展。国际上许多研究机构正在研究利用高通量测序数据进行微生物检测的算法,目前已有一些基于高通量测序数据的微生物检测算法流程设计成功并公开发布。该文通过调研利用高通量测序数据进行微生物检测的相关文献,研究已发布的基于高通量测序数据的微生物检测算法的功能和实现流程,分析几个有代表性算法的优点和不足。最后,对这些检测算法的设计思路进行总结和分类,提出基于高通量测序数据的微生物检测算法的改进设想。

The development of high throughput sequencing technology has promoted the development of many related spheres of research.Many research institutions are studying algorithms of microorganism detection using high throughput sequencing data.Some algorithms have already been designed and published.In this paper,we investigated the literature regarding the use of high throughput sequencing data for microorganism detection,studied the function and workflow of four released algorithms of microorganism detection based on high throughput sequencing data,and analyzed their advantages and disadvantages.Finally,we summarized how these detection algorithms were designed and classified them before we proposed ways of improvement.