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Sigflow: an automated and comprehensive pipeline for cancer genome mutational signature analysis

SUMMARY: Mutational signatures are recurring DNA alteration patterns caused by distinct mutational events during the evolution of cancer. In recent years, several bioinformatics tools are available for mutational signature analysis. However, most of them focus on specific type of mutation or have li...

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Detalles Bibliográficos
Autores principales: Wang, Shixiang, Tao, Ziyu, Wu, Tao, Liu, Xue-Song
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275980/
https://www.ncbi.nlm.nih.gov/pubmed/33270873
http://dx.doi.org/10.1093/bioinformatics/btaa895
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author Wang, Shixiang
Tao, Ziyu
Wu, Tao
Liu, Xue-Song
author_facet Wang, Shixiang
Tao, Ziyu
Wu, Tao
Liu, Xue-Song
author_sort Wang, Shixiang
collection PubMed
description SUMMARY: Mutational signatures are recurring DNA alteration patterns caused by distinct mutational events during the evolution of cancer. In recent years, several bioinformatics tools are available for mutational signature analysis. However, most of them focus on specific type of mutation or have limited scope of application. A pipeline tool for comprehensive mutational signature analysis is still lacking. Here we present Sigflow pipeline, which provides an one-stop solution for de novo signature extraction, reference signature fitting, signature stability analysis, sample clustering based on signature exposure in different types of genome DNA alterations including single base substitution, doublet base substitution, small insertion and deletion and copy number alteration. A Docker image is constructed to solve the complex and time-consuming installation issues, and this enables reproducible research by version control of all dependent tools along with their environments. Sigflow pipeline can be applied to both human and mouse genomes. AVAILABILITY AND IMPLEMENTATION: Sigflow is an open source software under academic free license v3.0 and it is freely available at https://github.com/ShixiangWang/sigflow or https://hub.docker.com/r/shixiangwang/sigflow. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-82759802021-07-13 Sigflow: an automated and comprehensive pipeline for cancer genome mutational signature analysis Wang, Shixiang Tao, Ziyu Wu, Tao Liu, Xue-Song Bioinformatics Applications Notes SUMMARY: Mutational signatures are recurring DNA alteration patterns caused by distinct mutational events during the evolution of cancer. In recent years, several bioinformatics tools are available for mutational signature analysis. However, most of them focus on specific type of mutation or have limited scope of application. A pipeline tool for comprehensive mutational signature analysis is still lacking. Here we present Sigflow pipeline, which provides an one-stop solution for de novo signature extraction, reference signature fitting, signature stability analysis, sample clustering based on signature exposure in different types of genome DNA alterations including single base substitution, doublet base substitution, small insertion and deletion and copy number alteration. A Docker image is constructed to solve the complex and time-consuming installation issues, and this enables reproducible research by version control of all dependent tools along with their environments. Sigflow pipeline can be applied to both human and mouse genomes. AVAILABILITY AND IMPLEMENTATION: Sigflow is an open source software under academic free license v3.0 and it is freely available at https://github.com/ShixiangWang/sigflow or https://hub.docker.com/r/shixiangwang/sigflow. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2020-10-17 /pmc/articles/PMC8275980/ /pubmed/33270873 http://dx.doi.org/10.1093/bioinformatics/btaa895 Text en © The Author(s) 2020. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Wang, Shixiang
Tao, Ziyu
Wu, Tao
Liu, Xue-Song
Sigflow: an automated and comprehensive pipeline for cancer genome mutational signature analysis
title Sigflow: an automated and comprehensive pipeline for cancer genome mutational signature analysis
title_full Sigflow: an automated and comprehensive pipeline for cancer genome mutational signature analysis
title_fullStr Sigflow: an automated and comprehensive pipeline for cancer genome mutational signature analysis
title_full_unstemmed Sigflow: an automated and comprehensive pipeline for cancer genome mutational signature analysis
title_short Sigflow: an automated and comprehensive pipeline for cancer genome mutational signature analysis
title_sort sigflow: an automated and comprehensive pipeline for cancer genome mutational signature analysis
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275980/
https://www.ncbi.nlm.nih.gov/pubmed/33270873
http://dx.doi.org/10.1093/bioinformatics/btaa895
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