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A nearest-neighbors network model for sequence data reveals new insight into genotype distribution of a pathogen
BACKGROUND: Sequence similarity networks are useful for classifying and characterizing biologically important proteins. Threshold-based approaches to similarity network construction using exact distance measures are prohibitively slow to compute and rely on the difficult task of selecting an appropr...
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| Опубликовано в: : | BMC Bioinformatics |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6291930/ https://ncbi.nlm.nih.gov/pubmed/30541438 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2453-2 |
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