NextSV: a meta-caller for structural variants from low-coverage long-read sequencing data

NextSV: a meta-caller for structural variants from low-coverage long-read sequencing data

Abstract Background Structural variants (SVs) in human genomes are implicated in a variety of human diseases. Long-read sequencing delivers much longer read lengths than short-read sequencing and may greatly improve SV detection. However, due to the relatively high cost of long-read sequencing, it i...

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Bibliographic Details
Main Authors: Li Fang, Jiang Hu, Depeng Wang, Kai Wang
Format: Article
Language:English
Published: BMC 2018-05-01
Series:BMC Bioinformatics
Subjects:
Long-read sequencing
Structural variants
Low coverage
PacBio
Online Access:http://link.springer.com/article/10.1186/s12859-018-2207-1

Internet

http://link.springer.com/article/10.1186/s12859-018-2207-1

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