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Unfazed: parent-of-origin detection for large and small de novo variants

SUMMARY: Unfazed is a command-line tool to determine the parental gamete of origin for de novo mutations from paired-end Illumina DNA sequencing reads. Unfazed uses variant information for a sequenced trio to identify the parental gamete of origin by linking phase-informative inherited variants to d...

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Detalles Bibliográficos
Autores principales: Belyeu, Jonathan R, Sasani, Thomas A, Pedersen, Brent S, Quinlan, Aaron R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665740/
https://www.ncbi.nlm.nih.gov/pubmed/34146087
http://dx.doi.org/10.1093/bioinformatics/btab454
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author Belyeu, Jonathan R
Sasani, Thomas A
Pedersen, Brent S
Quinlan, Aaron R
author_facet Belyeu, Jonathan R
Sasani, Thomas A
Pedersen, Brent S
Quinlan, Aaron R
author_sort Belyeu, Jonathan R
collection PubMed
description SUMMARY: Unfazed is a command-line tool to determine the parental gamete of origin for de novo mutations from paired-end Illumina DNA sequencing reads. Unfazed uses variant information for a sequenced trio to identify the parental gamete of origin by linking phase-informative inherited variants to de novo mutations using read-based phasing. It achieves a high success rate by chaining reads into haplotype groups, thus increasing the search space for informative sites. Unfazed provides a simple command-line interface and scales well to large inputs, determining parent-of-origin for nearly 30 000 de novo variants in under 60 h. AVAILABILITY AND IMPLEMENTATION: Unfazed is available at https://github.com/jbelyeu/unfazed. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-86657402021-12-13 Unfazed: parent-of-origin detection for large and small de novo variants Belyeu, Jonathan R Sasani, Thomas A Pedersen, Brent S Quinlan, Aaron R Bioinformatics Applications Notes SUMMARY: Unfazed is a command-line tool to determine the parental gamete of origin for de novo mutations from paired-end Illumina DNA sequencing reads. Unfazed uses variant information for a sequenced trio to identify the parental gamete of origin by linking phase-informative inherited variants to de novo mutations using read-based phasing. It achieves a high success rate by chaining reads into haplotype groups, thus increasing the search space for informative sites. Unfazed provides a simple command-line interface and scales well to large inputs, determining parent-of-origin for nearly 30 000 de novo variants in under 60 h. AVAILABILITY AND IMPLEMENTATION: Unfazed is available at https://github.com/jbelyeu/unfazed. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2021-06-19 /pmc/articles/PMC8665740/ /pubmed/34146087 http://dx.doi.org/10.1093/bioinformatics/btab454 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Belyeu, Jonathan R
Sasani, Thomas A
Pedersen, Brent S
Quinlan, Aaron R
Unfazed: parent-of-origin detection for large and small de novo variants
title Unfazed: parent-of-origin detection for large and small de novo variants
title_full Unfazed: parent-of-origin detection for large and small de novo variants
title_fullStr Unfazed: parent-of-origin detection for large and small de novo variants
title_full_unstemmed Unfazed: parent-of-origin detection for large and small de novo variants
title_short Unfazed: parent-of-origin detection for large and small de novo variants
title_sort unfazed: parent-of-origin detection for large and small de novo variants
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665740/
https://www.ncbi.nlm.nih.gov/pubmed/34146087
http://dx.doi.org/10.1093/bioinformatics/btab454
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