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Bioinformatics ; 30(23): 3402-4, 2014 Dec 01.
Article in English | MEDLINE | ID: mdl-25143290

ABSTRACT

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.


Subject(s)
Sequence Analysis, DNA/methods , Software , Algorithms , Animals , Humans , Mice
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