连续性
计算机科学
基因组
吞吐量
计算生物学
人口
顺序装配
生物
遗传学
操作系统
基因
社会学
人口学
基因表达
转录组
无线
出处
期刊:Nature Methods
[Springer Nature]
日期:2019-12-09
卷期号:17 (2): 155-158
被引量:833
标识
DOI:10.1038/s41592-019-0669-3
摘要
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. Wtdbg2 assembles genomes with comparable contiguity and accuracy to existing tools using long-read sequencing data, and is several times faster, especially for large genomes.
科研通智能强力驱动
Strongly Powered by AbleSci AI