Existing long-read assemblers require thousands of central processing unit hours to assemble a human genome and are being outpaced by sequencing technologies in terms of both throughput and cost. We developed a long-read assembler wtdbg2 (https://github.com/ruanjue/wtdbg2) that is 2-17 times as fast as published tools while achieving comparable contiguity and accuracy. It paves the way for population-scale long-read assembly in future.

中文翻译：

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使用wtdbg2进行快速，准确的长时间读取汇编。

现有的长期阅读的汇编器需要数千个中央处理单元小时来组装人类基因组，并且在吞吐量和成本方面都超过了测序技术。我们开发了长期阅读的汇编程序wtdbg2（https://github.com/ruanjue/wtdbg2），其速度是已发布工具的2-17倍，同时实现了相当的连续性和准确性。它为将来的人口规模的长期阅读集会铺平了道路。