期刊
BIOINFORMATICS
卷 28, 期 16, 页码 2182-2183出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bts355
关键词
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Pyrosequencing technologies are frequently used for sequencing the 16S ribosomal RNA marker gene for profiling microbial communities. Clustering of the produced reads is an important but time-consuming task. We present Dynamic Seedbased Clustering (DySC), a new tool based on the greedy clustering approach that uses a dynamic seeding strategy. Evaluations based on the normalized mutual information (NMI) criterion show that DySC produces higher quality clusters than UCLUST and CD-HIT at a comparable runtime.
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