HapTree-X: An Integrative Bayesian Framework for Haplotype Reconstruction from Transcriptome and Genome Sequencing Data

By running standard genotype calling tools, it is possible to accurately identify the number of wild type and mutant alleles for each single-nucleotide polymorphism (SNP) site. However, in the case of two heterozygous SNP sites, genotype calling tools cannot determine whether mutant alleles from dif...

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Main Authors: Berger, Emily R, Yorukoglu, Deniz, Berger Leighton, Bonnie
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Published: Springer Nature 2018
Online Access:http://hdl.handle.net/1721.1/115432
https://orcid.org/0000-0003-2315-0768
https://orcid.org/0000-0002-2724-7228
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author Berger, Emily R
Yorukoglu, Deniz
Berger Leighton, Bonnie
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Berger, Emily R
Yorukoglu, Deniz
Berger Leighton, Bonnie
author_sort Berger, Emily R
collection MIT
description By running standard genotype calling tools, it is possible to accurately identify the number of wild type and mutant alleles for each single-nucleotide polymorphism (SNP) site. However, in the case of two heterozygous SNP sites, genotype calling tools cannot determine whether mutant alleles from different SNP loci are on the same chromosome or on different homologous chromosomes (i.e. compound heterozygote).
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spelling mit-1721.1/1154322022-10-03T09:09:45Z HapTree-X: An Integrative Bayesian Framework for Haplotype Reconstruction from Transcriptome and Genome Sequencing Data Berger, Emily R Yorukoglu, Deniz Berger Leighton, Bonnie Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Mathematics Berger, Emily R Yorukoglu, Deniz Berger Leighton, Bonnie By running standard genotype calling tools, it is possible to accurately identify the number of wild type and mutant alleles for each single-nucleotide polymorphism (SNP) site. However, in the case of two heterozygous SNP sites, genotype calling tools cannot determine whether mutant alleles from different SNP loci are on the same chromosome or on different homologous chromosomes (i.e. compound heterozygote). 2018-05-17T17:52:04Z 2018-05-17T17:52:04Z 2015-03 2018-05-16T16:45:43Z Article http://purl.org/eprint/type/JournalArticle 978-3-319-16705-3 978-3-319-16706-0 0302-9743 1611-3349 http://hdl.handle.net/1721.1/115432 Berger, Emily et al. “HapTree-X: An Integrative Bayesian Framework for Haplotype Reconstruction from Transcriptome and Genome Sequencing Data.” Research in Computational Molecular Biology (2015): 28–29 © 2015 Springer International Publishing Switzerland https://orcid.org/0000-0003-2315-0768 https://orcid.org/0000-0002-2724-7228 http://dx.doi.org/10.1007/978-3-319-16706-0_4 Research in Computational Molecular Biology Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Springer Nature PMC
spellingShingle Berger, Emily R
Yorukoglu, Deniz
Berger Leighton, Bonnie
HapTree-X: An Integrative Bayesian Framework for Haplotype Reconstruction from Transcriptome and Genome Sequencing Data
title HapTree-X: An Integrative Bayesian Framework for Haplotype Reconstruction from Transcriptome and Genome Sequencing Data
title_full HapTree-X: An Integrative Bayesian Framework for Haplotype Reconstruction from Transcriptome and Genome Sequencing Data
title_fullStr HapTree-X: An Integrative Bayesian Framework for Haplotype Reconstruction from Transcriptome and Genome Sequencing Data
title_full_unstemmed HapTree-X: An Integrative Bayesian Framework for Haplotype Reconstruction from Transcriptome and Genome Sequencing Data
title_short HapTree-X: An Integrative Bayesian Framework for Haplotype Reconstruction from Transcriptome and Genome Sequencing Data
title_sort haptree x an integrative bayesian framework for haplotype reconstruction from transcriptome and genome sequencing data
url http://hdl.handle.net/1721.1/115432
https://orcid.org/0000-0003-2315-0768
https://orcid.org/0000-0002-2724-7228
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