[Objective] We identified 16S rRNA genes in genomes of prokaryotes.[Methods] We constructed a 3-layer filtering model based on the three features of GC bases content of the gene sequences,3-base periodicity and Markov chain to recognize the 16S rRNA genes from prokaryotic genomes.[Results] The specificity,sensitivity and Matthews correlation coefficients of the model were 99.58％,91.60％ and 91.49％,respectively.[Conclusion] The results showed that the 16S rRNA genes can be identified efficiently and accurately by using our model.%[目的]识别原核生物全基因组中的16S rRNA基因.[方法]本文依据基因序列的GC碱基含量、碱基3-周期性和马尔可夫链3个方面的特性,构建了识别原核生物全基因组中16S rRNA基因的三层过滤模型.[结果]经检验,模型的特异性、敏感性和马修斯相关系数分别为99.58％、91.60％和91.49％.[结论]结果表明,本文所提出的方法可以高效、准确地识别出16S rRNA基因.
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