CAJ | 학술논문

随着下一代测序技术的迅猛发展，宏基因组学已经成为新的研究热点，宏基因组学序列聚类问题使用无参考的方法，对包含多个物种的宏基因组序列进行有效分离。为此，提出一种结合相似度信息和结构信息的宏基因组物种聚类算法，并引入仿射聚类来进行序列物种聚类。实验数据表明该方法聚类精度高、执行速度快。我们也开发了基于该方法的宏基因组序列物种聚类软件。
수착하일대측서기술적신맹발전，굉기인조학이경성위신적연구열점，굉기인조학서렬취류문제사용무삼고적방법，대포함다개물충적굉기인조서렬진행유효분리。위차，제출일충결합상사도신식화결구신식적굉기인조물충취류산법，병인입방사취류래진행서렬물충취류。실험수거표명해방법취류정도고、집행속도쾌。아문야개발료기우해방법적굉기인조서렬물충취류연건。
Nowadays, with the rapid development of the next generation sequencing technologies, metagenomics have become a new hotspot,However research in metagenomics faces the issue of binning --- identification and taxonomic characterization of the NGS short reads. To solve this problem, this paper first analyzes the next generation sequencing technology characteristics, statistical characteristics of metagenomic sequence, then proposes a new clustering method for DNA sequence binning. Test results show that this method has a very good clustering accuracy. In the same time, we developed an software for metagenomic binning based on this algorithm MetaBinning.