April 21, 2020  |  

Fast and accurate long-read assembly with wtdbg2

Authors: Ruan, Jue and Li, Heng

Existing long-read assemblers require tens of thousands of CPU hours to assemble a human genome and are being outpaced by sequencing technologies in terms of both throughput and cost. We developed a novel long-read assembler wtdbg2 that, for human data, is tens of times faster than published tools while achieving comparable contiguity and accuracy. It represents a significant algorithmic advance and paves the way for population-scale long-read assembly in future.

Journal: BioRxiv
DOI: 10.1101/530972
Year: 2019

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