Unknown

Dataset Information

0

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


ABSTRACT: 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.

SUBMITTER: Prabakar RK 

PROVIDER: S-EPMC6615205 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Prabakar Rishvanth K RK   Xu Liya L   Hicks James J   Smith Andrew D AD  

Genome biology 20190708 1


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 sequenci  ...[more]

Similar Datasets

| S-EPMC7447571 | biostudies-literature
| S-EPMC8596897 | biostudies-literature
| S-EPMC8097687 | biostudies-literature
| S-EPMC4938641 | biostudies-literature
| S-EPMC4021345 | biostudies-literature
| S-EPMC4253826 | biostudies-other
| S-EPMC11329654 | biostudies-literature
| S-EPMC4907391 | biostudies-literature
| S-EPMC2656530 | biostudies-literature
| S-EPMC2820678 | biostudies-literature