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TT-Mars: structural variants assessment based on haplotype-resolved assemblies

Jianzhi Yang, Mark Chaisson

2022Genome biology18 citationsDOIOpen Access PDF

Abstract

Variant benchmarking is often performed by comparing a test callset to a gold standard set of variants. In repetitive regions of the genome, it may be difficult to establish what is the truth for a call, for example, when different alignment scoring metrics provide equally supported but different variant calls on the same data. Here, we provide an alternative approach, TT-Mars, that takes advantage of the recent production of high-quality haplotype-resolved genome assemblies by providing false discovery rates for variant calls based on how well their call reflects the content of the assembly, rather than comparing calls themselves.

Topics & Concepts

BiologyHaplotypeBenchmarkingGenomeComputational biologySet (abstract data type)GeneticsHuman geneticsEvolutionary biologyComputer scienceGeneBusinessMarketingProgramming languageGenotypeGenomics and Phylogenetic StudiesRNA and protein synthesis mechanismsGenomics and Rare Diseases
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