Haplotype-aware diplotyping from noisy long reads
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 g...
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Online Access: | http://link.springer.com/article/10.1186/s13059-019-1709-0 |
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doaj-c9258fdd94314d80b31bd0c99666e9582020-11-25T03:31:23ZengBMCGenome Biology1474-760X2019-06-0120111610.1186/s13059-019-1709-0Haplotype-aware diplotyping from noisy long readsJana Ebler0Marina Haukness1Trevor Pesout2Tobias Marschall3Benedict Paten4Center for Bioinformatics, Saarland UniversityUC Santa Cruz Genomics Institute, University of California Santa CruzUC Santa Cruz Genomics Institute, University of California Santa CruzCenter for Bioinformatics, Saarland UniversityUC Santa Cruz Genomics Institute, University of California Santa CruzAbstract 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 of the Genome-in-a-Bottle effort.http://link.springer.com/article/10.1186/s13059-019-1709-0Computational genomicsLong readsGenotypingPhasingHaplotypesDiplotypes |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jana Ebler Marina Haukness Trevor Pesout Tobias Marschall Benedict Paten |
spellingShingle |
Jana Ebler Marina Haukness Trevor Pesout Tobias Marschall Benedict Paten Haplotype-aware diplotyping from noisy long reads Genome Biology Computational genomics Long reads Genotyping Phasing Haplotypes Diplotypes |
author_facet |
Jana Ebler Marina Haukness Trevor Pesout Tobias Marschall Benedict Paten |
author_sort |
Jana Ebler |
title |
Haplotype-aware diplotyping from noisy long reads |
title_short |
Haplotype-aware diplotyping from noisy long reads |
title_full |
Haplotype-aware diplotyping from noisy long reads |
title_fullStr |
Haplotype-aware diplotyping from noisy long reads |
title_full_unstemmed |
Haplotype-aware diplotyping from noisy long reads |
title_sort |
haplotype-aware diplotyping from noisy long reads |
publisher |
BMC |
series |
Genome Biology |
issn |
1474-760X |
publishDate |
2019-06-01 |
description |
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 of the Genome-in-a-Bottle effort. |
topic |
Computational genomics Long reads Genotyping Phasing Haplotypes Diplotypes |
url |
http://link.springer.com/article/10.1186/s13059-019-1709-0 |
work_keys_str_mv |
AT janaebler haplotypeawarediplotypingfromnoisylongreads AT marinahaukness haplotypeawarediplotypingfromnoisylongreads AT trevorpesout haplotypeawarediplotypingfromnoisylongreads AT tobiasmarschall haplotypeawarediplotypingfromnoisylongreads AT benedictpaten haplotypeawarediplotypingfromnoisylongreads |
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1724571919564406784 |