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BioBloom tools: fast, accurate and memory-efficient host species sequence screening using bloom filters

Large datasets can be screened for sequences from a specific organism, quickly and with low memory requirements, by a data structure that supports time- and memory-efficient set membership queries. Bloom filters offer such queries but require that false positives be controlled. We present BioBloom T...

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Detalles Bibliográficos
Autores principales: Chu, Justin, Sadeghi, Sara, Raymond, Anthony, Jackman, Shaun D., Nip, Ka Ming, Mar, Richard, Mohamadi, Hamid, Butterfield, Yaron S., Robertson, A. Gordon, Birol, Inanç
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816029/
https://www.ncbi.nlm.nih.gov/pubmed/25143290
http://dx.doi.org/10.1093/bioinformatics/btu558
Descripción
Sumario:Large datasets can be screened for sequences from a specific organism, quickly and with low memory requirements, by a data structure that supports time- and memory-efficient set membership queries. Bloom filters offer such queries but require that false positives be controlled. We present BioBloom Tools, a Bloom filter-based sequence-screening tool that is faster than BWA, Bowtie 2 (popular alignment algorithms) and FACS (a membership query algorithm). It delivers accuracies comparable with these tools, controls false positives and has low memory requirements. Availability and implementaion: www.bcgsc.ca/platform/bioinfo/software/biobloomtools Contact: cjustin@bcgsc.ca or ibirol@bcgsc.ca Supplementary information: Supplementary data are available at Bioinformatics online.