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BOA: A partitioned view of genome assembly

De novo genome assembly is a fundamental problem in computational molecular biology that aims to reconstruct an unknown genome sequence from a set of short DNA sequences (or reads) obtained from the genome. The relative ordering of the reads along the target genome is not known a priori, which is on...

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Detalles Bibliográficos
Autores principales: An, Xiaojing, Ghosh, Priyanka, Keppler, Patrick, Kurt, Sureyya Emre, Krishnamoorthy, Sriram, Sadayappan, Ponnuswamy, Rajam, Aravind Sukumaran, Çatalyürek, Ümit V., Kalyanaraman, Ananth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593263/
https://www.ncbi.nlm.nih.gov/pubmed/36304115
http://dx.doi.org/10.1016/j.isci.2022.105273
Descripción
Sumario:De novo genome assembly is a fundamental problem in computational molecular biology that aims to reconstruct an unknown genome sequence from a set of short DNA sequences (or reads) obtained from the genome. The relative ordering of the reads along the target genome is not known a priori, which is one of the main contributors to the increased complexity of the assembly process. In this article, with the dual objective of improving assembly quality and exposing a high degree of parallelism, we present a partitioning-based approach. Our framework, BOA (bucket-order-assemble), uses a bucketing alongside graph- and hypergraph-based partitioning techniques to produce a partial ordering of the reads. This partial ordering enables us to divide the read set into disjoint blocks that can be independently assembled in parallel using any state-of-the-art serial assembler of choice. Experimental results show that BOA improves both the overall assembly quality and performance.