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  • SVDSS: structural variation discovery in hard-to-call genomic regions using sample-specific strings from accurate long reads
Title: SVDSS: structural variation discovery in hard-to-call genomic regions using sample-specific strings from accurate long reads
Structural variants (SVs) account for a large amount of sequence variability across genomes and play an important role in human genomics and precision medicine. Despite intense efforts over the years, the discovery of SVs in individuals remains challenging due to the diploid and highly repetitive structure of the human genome, and by the presence of SVs that vastly exceed sequencing read lengths. However, the recent introduction of low-error long-read sequencing technologies such as PacBio HiFi may finally enable these barriers to be overcome. Here we present SV discovery with sample-specific strings (SVDSS)—a method for discovery of SVs from long-read sequencing technologies (for example, PacBio HiFi) that combines and effectively leverages mapping-free, mapping-based and assembly-based methodologies for overall superior SV discovery performance. Our experiments on several human samples show that SVDSS outperforms state-of-the-art mapping-based methods for discovery of insertion and deletion SVs in PacBio HiFi reads and achieves notable improvements in calling SVs in repetitive regions of the genome.  more » « less
Award ID(s):
2042518
PAR ID:
10395441
Author(s) / Creator(s):
; ; ; ;
Date Published:
Journal Name:
Nature Methods
ISSN:
1548-7091
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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