State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
School of Data and Computer Science, and Guangdong Provincial Key Laboratory of Computational Science, Sun Yat-sen University, Guangzhou, China.
Nat Methods. 2017 Nov;14(11):1072-1074. doi: 10.1038/nmeth.4432. Epub 2017 Sep 18.
We present a tool that combines fast mapping, error correction, and de novo assembly (MECAT; accessible at https://github.com/xiaochuanle/MECAT) for processing single-molecule sequencing (SMS) reads. MECAT's computing efficiency is superior to that of current tools, while the results MECAT produces are comparable or improved. MECAT enables reference mapping or de novo assembly of large genomes using SMS reads on a single computer.
我们提出了一个工具,它结合了快速映射、纠错和从头组装(MECAT;可在 https://github.com/xiaochuanle/MECAT 获得),用于处理单分子测序(SMS)读取。MECAT 的计算效率优于当前的工具,而 MECAT 产生的结果是可比的或改进的。MECAT 使得使用 SMS 读取在单个计算机上对大型基因组进行参考映射或从头组装成为可能。
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