Cargando…
TRcaller: a novel tool for precise and ultrafast tandem repeat variant genotyping in massively parallel sequencing reads
Calling tandem repeat (TR) variants from DNA sequences is of both theoretical and practical significance. Some bioinformatics tools have been developed for detecting or genotyping TRs. However, little study has been done to genotyping TR alleles from long-read sequencing data, and the accuracy of ge...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390829/ https://www.ncbi.nlm.nih.gov/pubmed/37533432 http://dx.doi.org/10.3389/fgene.2023.1227176 |
_version_ | 1785082564145315840 |
---|---|
author | Wang, Xuewen Huang, Meng Budowle, Bruce Ge, Jianye |
author_facet | Wang, Xuewen Huang, Meng Budowle, Bruce Ge, Jianye |
author_sort | Wang, Xuewen |
collection | PubMed |
description | Calling tandem repeat (TR) variants from DNA sequences is of both theoretical and practical significance. Some bioinformatics tools have been developed for detecting or genotyping TRs. However, little study has been done to genotyping TR alleles from long-read sequencing data, and the accuracy of genotyping TR alleles from next-generation sequencing data still needs to be improved. Herein, a novel algorithm is described to retrieve TR regions from sequence alignment, and a software program TRcaller has been developed and integrated into a web portal to call TR alleles from both short- and long-read sequences, both whole genome and targeted sequences generated from multiple sequencing platforms. All TR alleles are genotyped as haplotypes and the robust alleles will be reported, even multiple alleles in a DNA mixture. TRcaller could provide substantially higher accuracy (>99% in 289 human individuals) in detecting TR alleles with magnitudes faster (e.g., ∼2 s for 300x human sequence data) than the mainstream software tools. The web portal preselected 119 TR loci from forensics, genealogy, and disease related TR loci. TRcaller is validated to be scalable in various applications, such as DNA forensics and disease diagnosis, which can be expanded into other fields like breeding programs. Availability: TRcaller is available at https://www.trcaller.com/SignIn.aspx. |
format | Online Article Text |
id | pubmed-10390829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103908292023-08-02 TRcaller: a novel tool for precise and ultrafast tandem repeat variant genotyping in massively parallel sequencing reads Wang, Xuewen Huang, Meng Budowle, Bruce Ge, Jianye Front Genet Genetics Calling tandem repeat (TR) variants from DNA sequences is of both theoretical and practical significance. Some bioinformatics tools have been developed for detecting or genotyping TRs. However, little study has been done to genotyping TR alleles from long-read sequencing data, and the accuracy of genotyping TR alleles from next-generation sequencing data still needs to be improved. Herein, a novel algorithm is described to retrieve TR regions from sequence alignment, and a software program TRcaller has been developed and integrated into a web portal to call TR alleles from both short- and long-read sequences, both whole genome and targeted sequences generated from multiple sequencing platforms. All TR alleles are genotyped as haplotypes and the robust alleles will be reported, even multiple alleles in a DNA mixture. TRcaller could provide substantially higher accuracy (>99% in 289 human individuals) in detecting TR alleles with magnitudes faster (e.g., ∼2 s for 300x human sequence data) than the mainstream software tools. The web portal preselected 119 TR loci from forensics, genealogy, and disease related TR loci. TRcaller is validated to be scalable in various applications, such as DNA forensics and disease diagnosis, which can be expanded into other fields like breeding programs. Availability: TRcaller is available at https://www.trcaller.com/SignIn.aspx. Frontiers Media S.A. 2023-07-18 /pmc/articles/PMC10390829/ /pubmed/37533432 http://dx.doi.org/10.3389/fgene.2023.1227176 Text en Copyright © 2023 Wang, Huang, Budowle and Ge. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Wang, Xuewen Huang, Meng Budowle, Bruce Ge, Jianye TRcaller: a novel tool for precise and ultrafast tandem repeat variant genotyping in massively parallel sequencing reads |
title | TRcaller: a novel tool for precise and ultrafast tandem repeat variant genotyping in massively parallel sequencing reads |
title_full | TRcaller: a novel tool for precise and ultrafast tandem repeat variant genotyping in massively parallel sequencing reads |
title_fullStr | TRcaller: a novel tool for precise and ultrafast tandem repeat variant genotyping in massively parallel sequencing reads |
title_full_unstemmed | TRcaller: a novel tool for precise and ultrafast tandem repeat variant genotyping in massively parallel sequencing reads |
title_short | TRcaller: a novel tool for precise and ultrafast tandem repeat variant genotyping in massively parallel sequencing reads |
title_sort | trcaller: a novel tool for precise and ultrafast tandem repeat variant genotyping in massively parallel sequencing reads |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390829/ https://www.ncbi.nlm.nih.gov/pubmed/37533432 http://dx.doi.org/10.3389/fgene.2023.1227176 |
work_keys_str_mv | AT wangxuewen trcalleranoveltoolforpreciseandultrafasttandemrepeatvariantgenotypinginmassivelyparallelsequencingreads AT huangmeng trcalleranoveltoolforpreciseandultrafasttandemrepeatvariantgenotypinginmassivelyparallelsequencingreads AT budowlebruce trcalleranoveltoolforpreciseandultrafasttandemrepeatvariantgenotypinginmassivelyparallelsequencingreads AT gejianye trcalleranoveltoolforpreciseandultrafasttandemrepeatvariantgenotypinginmassivelyparallelsequencingreads |