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TT-Mars: structural variants assessment based on haplotype-resolved assemblies
Variant benchmarking is often performed by comparing a test callset to a gold standard set of variants. In repetitive regions of the genome, it may be difficult to establish what is the truth for a call, for example, when different alignment scoring metrics provide equally supported but different va...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9077962/ https://www.ncbi.nlm.nih.gov/pubmed/35524317 http://dx.doi.org/10.1186/s13059-022-02666-2 |
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author | Yang, Jianzhi Chaisson, Mark J.P. |
author_facet | Yang, Jianzhi Chaisson, Mark J.P. |
author_sort | Yang, Jianzhi |
collection | PubMed |
description | Variant benchmarking is often performed by comparing a test callset to a gold standard set of variants. In repetitive regions of the genome, it may be difficult to establish what is the truth for a call, for example, when different alignment scoring metrics provide equally supported but different variant calls on the same data. Here, we provide an alternative approach, TT-Mars, that takes advantage of the recent production of high-quality haplotype-resolved genome assemblies by providing false discovery rates for variant calls based on how well their call reflects the content of the assembly, rather than comparing calls themselves. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s13059-022-02666-2). |
format | Online Article Text |
id | pubmed-9077962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90779622022-05-08 TT-Mars: structural variants assessment based on haplotype-resolved assemblies Yang, Jianzhi Chaisson, Mark J.P. Genome Biol Method Variant benchmarking is often performed by comparing a test callset to a gold standard set of variants. In repetitive regions of the genome, it may be difficult to establish what is the truth for a call, for example, when different alignment scoring metrics provide equally supported but different variant calls on the same data. Here, we provide an alternative approach, TT-Mars, that takes advantage of the recent production of high-quality haplotype-resolved genome assemblies by providing false discovery rates for variant calls based on how well their call reflects the content of the assembly, rather than comparing calls themselves. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s13059-022-02666-2). BioMed Central 2022-05-06 /pmc/articles/PMC9077962/ /pubmed/35524317 http://dx.doi.org/10.1186/s13059-022-02666-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Method Yang, Jianzhi Chaisson, Mark J.P. TT-Mars: structural variants assessment based on haplotype-resolved assemblies |
title | TT-Mars: structural variants assessment based on haplotype-resolved assemblies |
title_full | TT-Mars: structural variants assessment based on haplotype-resolved assemblies |
title_fullStr | TT-Mars: structural variants assessment based on haplotype-resolved assemblies |
title_full_unstemmed | TT-Mars: structural variants assessment based on haplotype-resolved assemblies |
title_short | TT-Mars: structural variants assessment based on haplotype-resolved assemblies |
title_sort | tt-mars: structural variants assessment based on haplotype-resolved assemblies |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9077962/ https://www.ncbi.nlm.nih.gov/pubmed/35524317 http://dx.doi.org/10.1186/s13059-022-02666-2 |
work_keys_str_mv | AT yangjianzhi ttmarsstructuralvariantsassessmentbasedonhaplotyperesolvedassemblies AT chaissonmarkjp ttmarsstructuralvariantsassessmentbasedonhaplotyperesolvedassemblies |