Independent assessment and improvement of wheat genome sequence assemblies using Fosill jumping libraries | Zendy

Fu-Hao Lu | Zendy; Neil McKenzie | Zendy; George Kettleborough | Zendy; Darren Heavens | Zendy; Matthew D. Clark | Zendy; Michael W. Bevan | Zendy

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Independent assessment and improvement of wheat genome sequence assemblies using Fosill jumping libraries

Author(s) -

Fu-Hao Lu,

Neil McKenzie,

George Kettleborough,

Darren Heavens,

Matthew D. Clark,

Michael W. Bevan

Publication year - 2018

Publication title -

gigascience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.947

H-Index - 54

ISSN - 2047-217X

DOI - 10.1093/gigascience/giy053

Subject(s) - genome , illumina dye sequencing , shotgun sequencing , biology , computational biology , hybrid genome assembly , whole genome sequencing , bacterial artificial chromosome , sequence assembly , genetics , genomics , reference genome , gene , transcriptome , gene expression

The accurate sequencing and assembly of very large, often polyploid, genomes remains a challenging task, limiting long-range sequence information and phased sequence variation for applications such as plant breeding. The 15-Gb hexaploid bread wheat (Triticum aestivum) genome has been particularly challenging to sequence, and several different approaches have recently generated long-range assemblies. Mapping and understanding the types of assembly errors are important for optimising future sequencing and assembly approaches and for comparative genomics.

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