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A grammar-based distance metric enables fast and accurate clustering of large sets of 16S sequences
BACKGROUND: 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 metric to determine partitioning for a set of biological s...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3022630/ https://www.ncbi.nlm.nih.gov/pubmed/21167044 http://dx.doi.org/10.1186/1471-2105-11-601 |