| License: Creative Commons Attribution 4.0 PDF - Published Version (1MB) |
- URN to cite this document:
- urn:nbn:de:bvb:355-epub-463852
- DOI to cite this document:
- 10.5283/epub.46385
Abstract
Thousands of genomic structural variants (SVs) segregate in the human population and can impact phenotypic traits and diseases. Their identification in whole-genome sequence data of large cohorts is a major computational challenge. Most current approaches identify SVs in single genomes and afterwards merge the identified variants into a joint call set across many genomes. We describe the approach ...

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