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Local read haplotagging enables accurate long-read small variant calling.
Kolesnikov, Alexey; Cook, Daniel; Nattestad, Maria; Brambrink, Lucas; McNulty, Brandy; Gorzynski, John; Goenka, Sneha; Ashley, Euan A; Jain, Miten; Miga, Karen H; Paten, Benedict; Chang, Pi-Chuan; Carroll, Andrew; Shafin, Kishwar.
Afiliación
  • Kolesnikov A; Google Inc, 1600 Amphitheatre Pkwy, Mountain View, CA, USA.
  • Cook D; Google Inc, 1600 Amphitheatre Pkwy, Mountain View, CA, USA.
  • Nattestad M; Google Inc, 1600 Amphitheatre Pkwy, Mountain View, CA, USA.
  • Brambrink L; Google Inc, 1600 Amphitheatre Pkwy, Mountain View, CA, USA.
  • McNulty B; UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA.
  • Gorzynski J; Stanford University, Stanford, CA, USA.
  • Goenka S; Stanford University, Stanford, CA, USA.
  • Ashley EA; Stanford University, Stanford, CA, USA.
  • Jain M; Northeastern university, Boston, MA, USA.
  • Miga KH; UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA.
  • Paten B; UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA.
  • Chang PC; Google Inc, 1600 Amphitheatre Pkwy, Mountain View, CA, USA.
  • Carroll A; Google Inc, 1600 Amphitheatre Pkwy, Mountain View, CA, USA. awcarroll@google.com.
  • Shafin K; Google Inc, 1600 Amphitheatre Pkwy, Mountain View, CA, USA. shafin@google.com.
Nat Commun ; 15(1): 5907, 2024 Jul 13.
Article en En | MEDLINE | ID: mdl-39003259
ABSTRACT
Long-read sequencing technology has enabled variant detection in difficult-to-map regions of the genome and enabled rapid genetic diagnosis in clinical settings. Rapidly evolving third-generation sequencing platforms like Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT) are introducing newer platforms and data types. It has been demonstrated that variant calling methods based on deep neural networks can use local haplotyping information with long-reads to improve the genotyping accuracy. However, using local haplotype information creates an overhead as variant calling needs to be performed multiple times which ultimately makes it difficult to extend to new data types and platforms as they get introduced. In this work, we have developed a local haplotype approximate method that enables state-of-the-art variant calling performance with multiple sequencing platforms including PacBio Revio system, ONT R10.4 simplex and duplex data. This addition of local haplotype approximation simplifies long-read variant calling with DeepVariant.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Haplotipos / Secuenciación de Nucleótidos de Alto Rendimiento Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Haplotipos / Secuenciación de Nucleótidos de Alto Rendimiento Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido