Fast and accurate long-read alignment with Burrows–Wheeler transform

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ID: 289186
2010
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Abstract
Abstract Motivation: Many programs for aligning short sequencing reads to a reference genome have been developed in the last 2 years. Most of them are very efficient for short reads but inefficient or not applicable for reads >200 bp because the algorithms are heavily and specifically tuned for short queries with low sequencing error rate. However, some sequencing platforms already produce longer reads and others are expected to become available soon. For longer reads, hashing-based software such as BLAT and SSAHA2 remain the only choices. Nonetheless, these methods are substantially slower than short-read aligners in terms of aligned bases per unit time. Results: We designed and implemented a new algorithm, Burrows-Wheeler Aligner's Smith-Waterman Alignment (BWA-SW), to align long sequences up to 1 Mb against a large sequence database (e.g. the human genome) with a few gigabytes of memory. The algorithm is as accurate as SSAHA2, more accurate than BLAT, and is several to tens of times faster than both. Availability: http://bio-bwa.sourceforge.net Contact: rd@sanger.ac.uk
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openalex_W4247053599 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Heng Li, Richard Durbin
Journal BMC Bioinformatics
Year 2010
DOI
10.1093/bioinformatics/btp698
URL
https://academic.oup.com/bioinformatics/article-pdf/26/5/589/48860453/bioinformatics_26_5_589.pdf
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