dc.contributor.authorLiu, Yongchao.
dc.contributor.authorSchmidt, Bertil.
dc.contributor.authorMaskell, Douglas Leslie.
dc.date.accessioned2013-06-27T03:04:46Z
dc.date.available2013-06-27T03:04:46Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.citationLiu, Y., Schmidt, B., & Maskell, D. L. (2012). CUSHAW: a CUDA compatible short read aligner to large genomes based on the Burrows-Wheeler transform. Bioinformatics, 28(14), 1830-1837.en_US
dc.identifier.issn1460-2059en_US
dc.identifier.urihttp://hdl.handle.net/10220/10773
dc.description.abstractMotivation: New high-throughput sequencing technologies have promoted the production of short reads with dramatically low unit cost. The explosive growth of short read datasets poses a challenge to the mapping of short reads to reference genomes, such as the human genome, in terms of alignment quality and execution speed. Results: We present CUSHAW, a parallelized short read aligner based on the compute unified device architecture (CUDA) parallel programming model. We exploit CUDA-compatible graphics hardware as accelerators to achieve fast speed. Our algorithm uses a quality-aware bounded search approach based on the Burrows–Wheeler transform (BWT) and the Ferragina–Manzini index to reduce the search space and achieve high alignment quality. Performance evaluation, using simulated as well as real short read datasets, reveals that our algorithm running on one or two graphics processing units achieves significant speedups in terms of execution time, while yielding comparable or even better alignment quality for paired-end alignments compared with three popular BWT-based aligners: Bowtie, BWA and SOAP2. CUSHAW also delivers competitive performance in terms of single-nucleotide polymorphism calling for an Escherichia coli test dataset.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesBioinformaticsen_US
dc.rights© 2012 The Author.en_US
dc.subjectDRNTU::Engineering::Computer science and engineering
dc.titleCUSHAW : a CUDA compatible short read aligner to large genomes based on the Burrows-Wheeler transformen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1093/bioinformatics/bts276


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