ArticleBioinformatics (Oxford, England)2024
Fast and exact gap-affine partial order alignment with POASTA.
Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Theseus: fast and optimal affine-gap sequence-to-graph alignment.Bioinformatics (Oxford, England) · 2026Article
- SVScope improves somatic structural variations detection via graph-genome optimization.Genome biology · 2026Article
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5 authors.
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Abstract
motivationPartial order alignment is a widely used method for computing multiple sequence alignments, with applications in genome assembly and pangenomics, among many others. Current algorithms to compute the optimal, gap-affine partial order alignment do not scale well to larger graphs and sequences. While heuristic approaches exist, they do not guarantee optimal alignment and sacrifice alignment accuracy.
resultsWe present POASTA, a new optimal algorithm for partial order alignment that exploits long stretches of matching sequence between the graph and a query. We benchmarked POASTA against the state-of-the-art on several diverse bacterial gene datasets and demonstrated an average speed-up of 4.1× and up to 9.8×, using less memory. POASTA's memory scaling characteristics enabled the construction of much larger POA graphs than previously possible, as demonstrated by megabase-length alignments of 342 Mycobacterium tuberculosis sequences. AVAILABILITY AND IMPLEMENTATION: POASTA is available on Github at https://github.com/broadinstitute/poasta.
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