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nPoRe: n-polymer realigner for improved pileup-based variant calling

Despite recent improvements in nanopore basecalling accuracy, germline variant calling of small insertions and deletions (INDELs) remains poor. Although precision and recall for single nucleotide polymorphisms (SNPs) now exceeds 99.5%, INDEL recall remains below 80% for standard R9.4.1 flow cells. W...

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Autores principales: Dunn, Tim, Blaauw, David, Das, Reetuparna, Narayanasamy, Satish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022090/
https://www.ncbi.nlm.nih.gov/pubmed/36927439
http://dx.doi.org/10.1186/s12859-023-05193-4
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author Dunn, Tim
Blaauw, David
Das, Reetuparna
Narayanasamy, Satish
author_facet Dunn, Tim
Blaauw, David
Das, Reetuparna
Narayanasamy, Satish
author_sort Dunn, Tim
collection PubMed
description Despite recent improvements in nanopore basecalling accuracy, germline variant calling of small insertions and deletions (INDELs) remains poor. Although precision and recall for single nucleotide polymorphisms (SNPs) now exceeds 99.5%, INDEL recall remains below 80% for standard R9.4.1 flow cells. We show that read phasing and realignment can recover a significant portion of false negative INDELs. In particular, we extend Needleman-Wunsch affine gap alignment by introducing new gap penalties for more accurately aligning repeated n-polymer sequences such as homopolymers ([Formula: see text] ) and tandem repeats ([Formula: see text] ). At the same precision, haplotype phasing improves INDEL recall from 63.76 to [Formula: see text] and nPoRe realignment improves it further to [Formula: see text] .
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spelling pubmed-100220902023-03-18 nPoRe: n-polymer realigner for improved pileup-based variant calling Dunn, Tim Blaauw, David Das, Reetuparna Narayanasamy, Satish BMC Bioinformatics Software Despite recent improvements in nanopore basecalling accuracy, germline variant calling of small insertions and deletions (INDELs) remains poor. Although precision and recall for single nucleotide polymorphisms (SNPs) now exceeds 99.5%, INDEL recall remains below 80% for standard R9.4.1 flow cells. We show that read phasing and realignment can recover a significant portion of false negative INDELs. In particular, we extend Needleman-Wunsch affine gap alignment by introducing new gap penalties for more accurately aligning repeated n-polymer sequences such as homopolymers ([Formula: see text] ) and tandem repeats ([Formula: see text] ). At the same precision, haplotype phasing improves INDEL recall from 63.76 to [Formula: see text] and nPoRe realignment improves it further to [Formula: see text] . BioMed Central 2023-03-16 /pmc/articles/PMC10022090/ /pubmed/36927439 http://dx.doi.org/10.1186/s12859-023-05193-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Dunn, Tim
Blaauw, David
Das, Reetuparna
Narayanasamy, Satish
nPoRe: n-polymer realigner for improved pileup-based variant calling
title nPoRe: n-polymer realigner for improved pileup-based variant calling
title_full nPoRe: n-polymer realigner for improved pileup-based variant calling
title_fullStr nPoRe: n-polymer realigner for improved pileup-based variant calling
title_full_unstemmed nPoRe: n-polymer realigner for improved pileup-based variant calling
title_short nPoRe: n-polymer realigner for improved pileup-based variant calling
title_sort npore: n-polymer realigner for improved pileup-based variant calling
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022090/
https://www.ncbi.nlm.nih.gov/pubmed/36927439
http://dx.doi.org/10.1186/s12859-023-05193-4
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