Haplotype-Aware Diplotyping From Noisy Long Reads
Year: 2018
Type: preprint
Abstract: SNP calls for individual NA12878 produced by MarginPhase and WhatsHap on PacBio and Oxford Nanopore data. Paper Abstract: Current genotyping approaches for single nucleotide variations rely on short, accurate reads from second generation sequencing devices. Presently, third generation sequencing platforms are rapidly becoming more widespread, yet approaches for leveraging their long but error-prone reads for genotyping are lacking. Here, we introduce a novel statistical framework for the joint inference of haplotypes and genotypes from noisy long reads, which we term diplotyping. Our technique takes full advantage of linkage information provided by long reads. We validate hundreds of thousands of candidate variants that have not yet been included in the high-confidence reference set (NA12878) of the Genome-in-a-Bottle effort.
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W6911339907