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MSV: a modular structural variant caller that reveals nested and complex rearrangements by unifying breakends inferred directly from reads

Structural variant (SV) calling belongs to the standard tools of modern bioinformatics for identifying and describing alterations in genomes. Initially, this work presents several complex genomic rearrangements that reveal conceptual ambiguities inherent to the representation via basic SV. We contex...

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Detalles Bibliográficos
Autores principales: Schmidt, Markus, Kutzner, Arne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10351204/
https://www.ncbi.nlm.nih.gov/pubmed/37461107
http://dx.doi.org/10.1186/s13059-023-03009-5
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author Schmidt, Markus
Kutzner, Arne
author_facet Schmidt, Markus
Kutzner, Arne
author_sort Schmidt, Markus
collection PubMed
description Structural variant (SV) calling belongs to the standard tools of modern bioinformatics for identifying and describing alterations in genomes. Initially, this work presents several complex genomic rearrangements that reveal conceptual ambiguities inherent to the representation via basic SV. We contextualize these ambiguities theoretically as well as practically and propose a graph-based approach for resolving them. For various yeast genomes, we practically compute adjacency matrices of our graph model and demonstrate that they provide highly accurate descriptions of one genome in terms of another. An open-source prototype implementation of our approach is available under the MIT license at https://github.com/ITBE-Lab/MA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-03009-5.
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spelling pubmed-103512042023-07-18 MSV: a modular structural variant caller that reveals nested and complex rearrangements by unifying breakends inferred directly from reads Schmidt, Markus Kutzner, Arne Genome Biol Method Structural variant (SV) calling belongs to the standard tools of modern bioinformatics for identifying and describing alterations in genomes. Initially, this work presents several complex genomic rearrangements that reveal conceptual ambiguities inherent to the representation via basic SV. We contextualize these ambiguities theoretically as well as practically and propose a graph-based approach for resolving them. For various yeast genomes, we practically compute adjacency matrices of our graph model and demonstrate that they provide highly accurate descriptions of one genome in terms of another. An open-source prototype implementation of our approach is available under the MIT license at https://github.com/ITBE-Lab/MA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-03009-5. BioMed Central 2023-07-17 /pmc/articles/PMC10351204/ /pubmed/37461107 http://dx.doi.org/10.1186/s13059-023-03009-5 Text en © The Author(s) 2023 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
Schmidt, Markus
Kutzner, Arne
MSV: a modular structural variant caller that reveals nested and complex rearrangements by unifying breakends inferred directly from reads
title MSV: a modular structural variant caller that reveals nested and complex rearrangements by unifying breakends inferred directly from reads
title_full MSV: a modular structural variant caller that reveals nested and complex rearrangements by unifying breakends inferred directly from reads
title_fullStr MSV: a modular structural variant caller that reveals nested and complex rearrangements by unifying breakends inferred directly from reads
title_full_unstemmed MSV: a modular structural variant caller that reveals nested and complex rearrangements by unifying breakends inferred directly from reads
title_short MSV: a modular structural variant caller that reveals nested and complex rearrangements by unifying breakends inferred directly from reads
title_sort msv: a modular structural variant caller that reveals nested and complex rearrangements by unifying breakends inferred directly from reads
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10351204/
https://www.ncbi.nlm.nih.gov/pubmed/37461107
http://dx.doi.org/10.1186/s13059-023-03009-5
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