Journal article

Comparison of long-read methods for sequencing and assembly of a plant genome

Valentine Murigneux, Subash Kumar Rai, Agnelo Furtado, Timothy JC Bruxner, Wei Tian, Ivon Harliwong, Hanmin Wei, Bicheng Yang, Qianyu Ye, Ellis Anderson, Qing Mao, Radoje Drmanac, Ou Wang, Brock A Peters, Mengyang Xu, Pei Wu, Bruce Topp, Lachlan JM Coin, Robert J Henry

GigaScience | OXFORD UNIV PRESS | Published : 2020

Abstract

BACKGROUND: Sequencing technologies have advanced to the point where it is possible to generate high-accuracy, haplotype-resolved, chromosome-scale assemblies. Several long-read sequencing technologies are available, and a growing number of algorithms have been developed to assemble the reads generated by those technologies. When starting a new genome project, it is therefore challenging to select the most cost-effective sequencing technology, as well as the most appropriate software for assembly and polishing. It is thus important to benchmark different approaches applied to the same sample. RESULTS: Here, we report a comparison of 3 long-read sequencing technologies applied to the de novo ..

View full abstract

University of Melbourne Researchers

Grants

Awarded by Shenzhen Peacock Plan


Awarded by Australian Research Council


Funding Acknowledgements

This work was funded by the Genome Innovation Hub, Office of Research Infrastructure, The University of Queensland. This work was supported in part by the Shenzhen Peacock Plan (NO.KQTD20150330171505310). L.J.M.C. was supported by a Discovery Project with grant number DP170102626 awarded by the Australian Research Council.