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NextSV: a meta-caller for structural variants from low-coverage long-read sequencing data
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 is unclea...
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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5966861/ https://ncbi.nlm.nih.gov/pubmed/29792160 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2207-1 |
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