Bowtie is an open source software package for aligning short DNA sequencing reads against large reference genomes, developed by Ben Langmead and colleagues at the University of Maryland beginning in 2009 and later maintained at Johns Hopkins University. It builds an index of the reference genome using the Burrows-Wheeler transform, which keeps memory use low, roughly 2.2 gigabytes for the full human genome, while still allowing very fast lookups. To find where a given read belongs, Bowtie runs a quality-aware, greedy, randomized depth-first search through the index and reports the first alignment it finds that meets the requested criteria, rather than exhaustively searching for the single best scoring alignment. This tradeoff of exhaustiveness for speed made Bowtie widely used in short read sequencing pipelines, and the paper describing it had accumulated more than 11,000 citations by 2017.
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Entity-backed identity for the design-technique enum value this algorithm already carries, resolved to a computing concept by an explicit value-to-entity map (phase 3 bucket conversion, docs\design_entity_backed_browse_buckets_20260928.md). The design-technique fact itself stays on the algorithm unchanged.
Entity-backed identity for the design-technique enum value this algorithm already carries, resolved to a computing concept by an explicit value-to-entity map (phase 3 bucket conversion, docs\design_entity_backed_browse_buckets_20260928.md). The design-technique fact itself stays on the algorithm unchanged.
Sources
1. Bowtie (sequence analysis) (Wikipedia)
Lead, algorithmic approachQuote, Lead, algorithmic approach
quality-aware, greedy, randomized depth-first search through possible alignments
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