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Haploflow: Strain-resolved de novo assembly of viral genomes.
Fritz, A; Bremges, A; Deng, Z-L; Lesker, T-R; Götting, J; Ganzenmüller, T; Sczyrba, A; Dilthey, A; Klawonn, F; McHardy, A C.
Afiliação
  • Fritz A; BIFO, Department of Computational Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
  • Bremges A; DZIF, German Centre for Infection Research.
  • Deng ZL; BIFO, Department of Computational Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
  • Lesker TR; DZIF, German Centre for Infection Research.
  • Götting J; BIFO, Department of Computational Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
  • Ganzenmüller T; BIFO, Department of Computational Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
  • Sczyrba A; DZIF, German Centre for Infection Research.
  • Dilthey A; Institute of Virology, Hannover Medical School, Hannover, Germany.
  • Klawonn F; DZIF, German Centre for Infection Research.
  • McHardy AC; Institute of Virology, Hannover Medical School, Hannover, Germany.
bioRxiv ; 2021 Jan 26.
Article em En | MEDLINE | ID: mdl-33532769
ABSTRACT
In viral infections often multiple related viral strains are present, due to coinfection or within-host evolution. We describe Haploflow, a de Bruijn graph-based assembler for de novo genome assembly of viral strains from mixed sequence samples using a novel flow algorithm. We assessed Haploflow across multiple benchmark data sets of increasing complexity, showing that Haploflow is faster and more accurate than viral haplotype assemblers and generic metagenome assemblers not aiming to reconstruct strains. Haplotype reconstructed high-quality strain-resolved assemblies from clinical HCMV samples and SARS-CoV-2 genomes from wastewater metagenomes identical to genomes from clinical isolates.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha