SMURF-seq: efficient copy number profiling on long-read sequencers

被引:8
|
作者
Prabakar, Rishvanth K. [1 ]
Xu, Liya [2 ]
Hicks, James [2 ]
Smith, Andrew D. [1 ]
机构
[1] Univ Southern Calif, Dept Biol Sci, Quantitat & Computat Biol Sect, 1050 Childs Way, Los Angeles, CA 90089 USA
[2] Univ Southern Calif, Michelson Ctr Convergent Biosci, 1002 Childs Way, Los Angeles, CA 90089 USA
关键词
Long-read sequencing; Nanopore sequencing; Copy number variation; Read-counting applications; GENOME; TIME;
D O I
10.1186/s13059-019-1732-1
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
We present SMURF-seq, a protocol to efficiently sequence short DNA molecules on a long-read sequencer by randomly ligating them to form long molecules. Applying SMURF-seq using the Oxford Nanopore MinION yields up to 30 fragments per read, providing an average of 6.2 and up to 7.5 million mappable fragments per run, increasing information throughput for read-counting applications. We apply SMURF-seq on the MinION to generate copy number profiles. A comparison with profiles from Illumina sequencing reveals that SMURF-seq attains similar accuracy. More broadly, SMURF-seq expands the utility of long-read sequencers for read-counting applications.
引用
收藏
页数:9
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