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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,...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2014
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3974045/ https://ncbi.nlm.nih.gov/pubmed/24565280 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1748-7188-9-2 |
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