Ultrafast and memory-efficient alignment of short DNA sequences to the human genome
dc.contributor.author | Langmead, Ben | |
dc.contributor.author | Trapnell, Cole | |
dc.contributor.author | Pop, Mihai | |
dc.contributor.author | Salzberg, Steven L | |
dc.date.accessioned | 2021-11-30T15:51:37Z | |
dc.date.available | 2021-11-30T15:51:37Z | |
dc.date.issued | 2009-03-04 | |
dc.description.abstract | Bowtie is an ultrafast, memory-efficient alignment program for aligning short DNA sequence reads to large genomes. For the human genome, Burrows-Wheeler indexing allows Bowtie to align more than 25 million reads per CPU hour with a memory footprint of approximately 1.3 gigabytes. Bowtie extends previous Burrows-Wheeler techniques with a novel quality-aware backtracking algorithm that permits mismatches. Multiple processor cores can be used simultaneously to achieve even greater alignment speeds. Bowtie is open source http://bowtie.cbcb.umd.edu . | en_US |
dc.description.uri | https://doi.org/10.1186/gb-2009-10-3-r25 | |
dc.identifier | https://doi.org/10.13016/kiy1-gyzy | |
dc.identifier.citation | Langmead, B., Trapnell, C., Pop, M. et al. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol 10, R25 (2009). | en_US |
dc.identifier.uri | http://hdl.handle.net/1903/28174 | |
dc.language.iso | en_US | en_US |
dc.publisher | Springer Nature | en_US |
dc.relation.isAvailableAt | College of Computer, Mathematical & Natural Sciences | en_us |
dc.relation.isAvailableAt | Computer Science | en_us |
dc.relation.isAvailableAt | Digital Repository at the University of Maryland | en_us |
dc.relation.isAvailableAt | University of Maryland (College Park, MD) | en_us |
dc.subject | Additional Data File | en_US |
dc.subject | Central Processing Unit | en_US |
dc.subject | Human Reference Genome | en_US |
dc.subject | Memory Footprint | en_US |
dc.subject | NCBI Short Read Archive | en_US |
dc.title | Ultrafast and memory-efficient alignment of short DNA sequences to the human genome | en_US |
dc.type | Article | en_US |
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