Improved haplotype inference by exploiting long-range linking and allelic imbalance in RNA-seq datasets

Haplotype reconstruction of distant genetic variants is problematic in short-read sequencing. Here, the authors describe HapTree-X, a probabilistic framework that uses differential allele-specific expression to better reconstruct paternal haplotypes from diploid and polyploid genomes.

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Autores principales: Emily Berger, Deniz Yorukoglu, Lillian Zhang, Sarah K. Nyquist, Alex K. Shalek, Manolis Kellis, Ibrahim Numanagić, Bonnie Berger
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/c970eb7c1f7e4e68975f9e9fac639d5d
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spelling oai:doaj.org-article:c970eb7c1f7e4e68975f9e9fac639d5d2021-12-02T15:16:00ZImproved haplotype inference by exploiting long-range linking and allelic imbalance in RNA-seq datasets10.1038/s41467-020-18320-z2041-1723https://doaj.org/article/c970eb7c1f7e4e68975f9e9fac639d5d2020-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18320-zhttps://doaj.org/toc/2041-1723Haplotype reconstruction of distant genetic variants is problematic in short-read sequencing. Here, the authors describe HapTree-X, a probabilistic framework that uses differential allele-specific expression to better reconstruct paternal haplotypes from diploid and polyploid genomes.Emily BergerDeniz YorukogluLillian ZhangSarah K. NyquistAlex K. ShalekManolis KellisIbrahim NumanagićBonnie BergerNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Emily Berger
Deniz Yorukoglu
Lillian Zhang
Sarah K. Nyquist
Alex K. Shalek
Manolis Kellis
Ibrahim Numanagić
Bonnie Berger
Improved haplotype inference by exploiting long-range linking and allelic imbalance in RNA-seq datasets
description Haplotype reconstruction of distant genetic variants is problematic in short-read sequencing. Here, the authors describe HapTree-X, a probabilistic framework that uses differential allele-specific expression to better reconstruct paternal haplotypes from diploid and polyploid genomes.
format article
author Emily Berger
Deniz Yorukoglu
Lillian Zhang
Sarah K. Nyquist
Alex K. Shalek
Manolis Kellis
Ibrahim Numanagić
Bonnie Berger
author_facet Emily Berger
Deniz Yorukoglu
Lillian Zhang
Sarah K. Nyquist
Alex K. Shalek
Manolis Kellis
Ibrahim Numanagić
Bonnie Berger
author_sort Emily Berger
title Improved haplotype inference by exploiting long-range linking and allelic imbalance in RNA-seq datasets
title_short Improved haplotype inference by exploiting long-range linking and allelic imbalance in RNA-seq datasets
title_full Improved haplotype inference by exploiting long-range linking and allelic imbalance in RNA-seq datasets
title_fullStr Improved haplotype inference by exploiting long-range linking and allelic imbalance in RNA-seq datasets
title_full_unstemmed Improved haplotype inference by exploiting long-range linking and allelic imbalance in RNA-seq datasets
title_sort improved haplotype inference by exploiting long-range linking and allelic imbalance in rna-seq datasets
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/c970eb7c1f7e4e68975f9e9fac639d5d
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AT lillianzhang improvedhaplotypeinferencebyexploitinglongrangelinkingandallelicimbalanceinrnaseqdatasets
AT sarahknyquist improvedhaplotypeinferencebyexploitinglongrangelinkingandallelicimbalanceinrnaseqdatasets
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AT bonnieberger improvedhaplotypeinferencebyexploitinglongrangelinkingandallelicimbalanceinrnaseqdatasets
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