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Truvari: refined structural variant comparison preserves allelic diversity.

Adam C EnglishVipin K MenonRichard A GibbsGinger A MetcalfFritz J Sedlazeck
Published in: Genome biology (2022)
The fundamental challenge of multi-sample structural variant (SV) analysis such as merging and benchmarking is identifying when two SVs are the same. Common approaches for comparing SVs were developed alongside technologies which produce ill-defined boundaries. As SV detection becomes more exact, algorithms to preserve this refined signal are needed. Here, we present Truvari-an SV comparison, annotation, and analysis toolkit-and demonstrate the effect of SV comparison choices by building population-level VCFs from 36 haplotype-resolved long-read assemblies. We observe over-merging from other SV merging approaches which cause up to a 2.2× inflation of allele frequency, relative to Truvari.
Keyphrases
  • machine learning
  • single molecule
  • rna seq
  • clinical evaluation
  • quantum dots