Back to search

Article

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

2016-12-09

Abstract excerpt

<h4>Background</h4> 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 is unclear what coverage is needed and how to optimally use the aligners and SV callers. <h4>Results</h4> In this st...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
bb4b6f8b-375f-5efa-8551-03d49c79cceb
DOI
10.1101/092544
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
NextSV: a meta-caller for structural variants from low-coverage long-read sequencing dataDOI 10.1101/092544
Select a neighboring publication to make it the new centre.