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Scalable telomere-to-telomere assembly for diploid and polyploid genomes with double graph.
Cheng, Haoyu; Asri, Mobin; Lucas, Julian; Koren, Sergey; Li, Heng.
  • Cheng H; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Asri M; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Lucas J; Genomics Institute, University of California, Santa Cruz, CA, USA.
  • Koren S; Genomics Institute, University of California, Santa Cruz, CA, USA.
  • Li H; Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Nat Methods ; 21(6): 967-970, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38730258
ABSTRACT
Despite advances in long-read sequencing technologies, constructing a near telomere-to-telomere assembly is still computationally demanding. Here we present hifiasm (UL), an efficient de novo assembly algorithm combining multiple sequencing technologies to scale up population-wide near telomere-to-telomere assemblies. Applied to 22 human and two plant genomes, our algorithm produces better diploid assemblies at a cost of an order of magnitude lower than existing methods, and it also works with polyploid genomes.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Poliploidía / Algoritmos / Telómero / Diploidia Límite: Humans Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Poliploidía / Algoritmos / Telómero / Diploidia Límite: Humans Idioma: En Año: 2024 Tipo del documento: Article