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Kssd: sequence dimensionality reduction by k-mer substring space sampling enables real-time large-scale datasets analysis
Here, we develop k -mer substring space decomposition (Kssd), a sketching technique which is significantly faster and more accurate than current sketching methods. We show that it is the only method that can be used for large-scale dataset comparisons at population resolution on simulated and real d...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7962209/ https://www.ncbi.nlm.nih.gov/pubmed/33726811 http://dx.doi.org/10.1186/s13059-021-02303-4 |