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MutationalPatterns: comprehensive genome-wide analysis of mutational processes
BACKGROUND: Base substitution catalogues represent historical records of mutational processes that have been active in a cell. Such processes can be distinguished by various characteristics, like mutation type, sequence context, transcriptional and replicative strand bias, genomic distribution and a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5922316/ https://www.ncbi.nlm.nih.gov/pubmed/29695279 http://dx.doi.org/10.1186/s13073-018-0539-0 |
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author | Blokzijl, Francis Janssen, Roel van Boxtel, Ruben Cuppen, Edwin |
author_facet | Blokzijl, Francis Janssen, Roel van Boxtel, Ruben Cuppen, Edwin |
author_sort | Blokzijl, Francis |
collection | PubMed |
description | BACKGROUND: Base substitution catalogues represent historical records of mutational processes that have been active in a cell. Such processes can be distinguished by various characteristics, like mutation type, sequence context, transcriptional and replicative strand bias, genomic distribution and association with (epi)-genomic features. RESULTS: We have created MutationalPatterns, an R/Bioconductor package that allows researchers to characterize a broad range of patterns in base substitution catalogues to dissect the underlying molecular mechanisms. Furthermore, it offers an efficient method to quantify the contribution of known mutational signatures within single samples. This analysis can be used to determine whether certain DNA repair mechanisms are perturbed and to further characterize the processes underlying known mutational signatures. CONCLUSIONS: MutationalPatterns allows for easy characterization and visualization of mutational patterns. These analyses willsupport fundamental research into mutational mechanisms and may ultimately improve cancer diagnosis and treatment strategies. MutationalPatterns is freely available at http://bioconductor.org/packages/MutationalPatterns. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-018-0539-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5922316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59223162018-05-07 MutationalPatterns: comprehensive genome-wide analysis of mutational processes Blokzijl, Francis Janssen, Roel van Boxtel, Ruben Cuppen, Edwin Genome Med Software BACKGROUND: Base substitution catalogues represent historical records of mutational processes that have been active in a cell. Such processes can be distinguished by various characteristics, like mutation type, sequence context, transcriptional and replicative strand bias, genomic distribution and association with (epi)-genomic features. RESULTS: We have created MutationalPatterns, an R/Bioconductor package that allows researchers to characterize a broad range of patterns in base substitution catalogues to dissect the underlying molecular mechanisms. Furthermore, it offers an efficient method to quantify the contribution of known mutational signatures within single samples. This analysis can be used to determine whether certain DNA repair mechanisms are perturbed and to further characterize the processes underlying known mutational signatures. CONCLUSIONS: MutationalPatterns allows for easy characterization and visualization of mutational patterns. These analyses willsupport fundamental research into mutational mechanisms and may ultimately improve cancer diagnosis and treatment strategies. MutationalPatterns is freely available at http://bioconductor.org/packages/MutationalPatterns. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-018-0539-0) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-25 /pmc/articles/PMC5922316/ /pubmed/29695279 http://dx.doi.org/10.1186/s13073-018-0539-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Blokzijl, Francis Janssen, Roel van Boxtel, Ruben Cuppen, Edwin MutationalPatterns: comprehensive genome-wide analysis of mutational processes |
title | MutationalPatterns: comprehensive genome-wide analysis of mutational processes |
title_full | MutationalPatterns: comprehensive genome-wide analysis of mutational processes |
title_fullStr | MutationalPatterns: comprehensive genome-wide analysis of mutational processes |
title_full_unstemmed | MutationalPatterns: comprehensive genome-wide analysis of mutational processes |
title_short | MutationalPatterns: comprehensive genome-wide analysis of mutational processes |
title_sort | mutationalpatterns: comprehensive genome-wide analysis of mutational processes |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5922316/ https://www.ncbi.nlm.nih.gov/pubmed/29695279 http://dx.doi.org/10.1186/s13073-018-0539-0 |
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