A grammar-based distance metric enables fast and accurate clustering of large sets of 16S sequences
<p>Abstract</p> <p>Background</p> <p>We propose a sequence clustering algorithm and compare the partition quality and execution time of the proposed algorithm with those of a popular existing algorithm. The proposed clustering algorithm uses a grammar-based distance met...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2010-12-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/11/601 |