Journal
NATURE METHODS
Volume 9, Issue 4, Pages 357-U54Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.1923
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Funding
- US National Institutes of Health [R01-HG006102, R01-GM083873]
- Amazon Web Services in Education Research
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As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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