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Using cluster edge counting to aggregate iterations of centroid-linkage clustering results and avoid large distance matrices
Sequence clustering is a fundamental tool of molecular biology that is being challenged by increasing dataset sizes from high-throughput sequencing. The agglomerative algorithms that have been relied upon for their accuracy require the construction of computationally costly distance matrices which c...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Journal of Biological Methods
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708925/ https://www.ncbi.nlm.nih.gov/pubmed/31453226 http://dx.doi.org/10.14440/jbm.2017.153 |