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Using cascading Bloom filters to improve the memory usage for de Brujin graphs
BACKGROUND: De Brujin graphs are widely used in bioinformatics for processing next-generation sequencing data. Due to a very large size of NGS datasets, it is essential to represent de Bruijn graphs compactly, and several approaches to this problem have been proposed recently. RESULTS: In this work,...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3974045/ https://www.ncbi.nlm.nih.gov/pubmed/24565280 http://dx.doi.org/10.1186/1748-7188-9-2 |