Center for Algorithmic Biotechnology, Institute for Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russia.
Department of Computer Science and Engineering, University of California at San Diego, La Jolla, California, USA.
Nat Methods. 2016 Mar;13(3):248-50. doi: 10.1038/nmeth.3737. Epub 2016 Feb 1.
The recently introduced TruSeq synthetic long read (TSLR) technology generates long and accurate virtual reads from an assembly of barcoded pools of short reads. The TSLR method provides an attractive alternative to existing sequencing platforms that generate long but inaccurate reads. We describe the truSPAdes algorithm (http://bioinf.spbau.ru/spades) for TSLR assembly and show that it results in a dramatic improvement in the quality of metagenomics assemblies.
最近推出的 TruSeq 合成长读(TSLR)技术可从短读条码池的集合中生成长而准确的虚拟读。TSLR 方法为现有生成长但不准确读的测序平台提供了一种有吸引力的替代方案。我们描述了用于 TSLR 组装的 truSPAdes 算法(http://bioinf.spbau.ru/spades),并表明它可显著提高宏基因组组装的质量。