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           目的  隨著高通量測序技術的發(fā)展，產生了大量的微生物16S rRNA基因序列數據。對該數據進行精確的微生物操作分類單元（operational taxonomic unit, OTU）劃分，有助于了解環(huán)境中微生物的種群組成及分布。 方法  本文在真實數據集與模擬數據集上，對現有的7種流行OTU單元聚類算法進行了對比研究，并分析了這些算法的優(yōu)缺點及使用范圍。 結果  序列長度、測序深度對聚類結果均有影響。 結論  相同的序列相似性閾值下，不同的聚類算法聚類結果差異較大，其中CROP算法的魯棒性和抗噪性較好。    

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