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Haplotype threading: accurate polyploid phasing from long reads

Resolving genomes at haplotype level is crucial for understanding the evolutionary history of polyploid species and for designing advanced breeding strategies. Polyploid phasing still presents considerable challenges, especially in regions of collapsing haplotypes.We present WhatsHap polyphase, a no...

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Detalles Bibliográficos
Autores principales: Schrinner, Sven D., Mari, Rebecca Serra, Ebler, Jana, Rautiainen, Mikko, Seillier, Lancelot, Reimer, Julia J., Usadel, Björn, Marschall, Tobias, Klau, Gunnar W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7504856/
https://www.ncbi.nlm.nih.gov/pubmed/32951599
http://dx.doi.org/10.1186/s13059-020-02158-1
Descripción
Sumario:Resolving genomes at haplotype level is crucial for understanding the evolutionary history of polyploid species and for designing advanced breeding strategies. Polyploid phasing still presents considerable challenges, especially in regions of collapsing haplotypes.We present WhatsHap polyphase, a novel two-stage approach that addresses these challenges by (i) clustering reads and (ii) threading the haplotypes through the clusters. Our method outperforms the state-of-the-art in terms of phasing quality. Using a real tetraploid potato dataset, we demonstrate how to assemble local genomic regions of interest at the haplotype level. Our algorithm is implemented as part of the widely used open source tool WhatsHap.