Cargando…
The Mutational Signature Comprehensive Analysis Toolkit (musicatk) for the Discovery, Prediction, and Exploration of Mutational Signatures
Mutational signatures are patterns of somatic alterations in the genome caused by carcinogenic exposures or aberrant cellular processes. To provide a comprehensive workflow for preprocessing, analysis, and visualization of mutational signatures, we created the Mutational Signature Comprehensive Anal...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for Cancer Research
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8639789/ https://www.ncbi.nlm.nih.gov/pubmed/34625425 http://dx.doi.org/10.1158/0008-5472.CAN-21-0899 |
_version_ | 1784609208858050560 |
---|---|
author | Chevalier, Aaron Yang, Shiyi Khurshid, Zainab Sahelijo, Nathan Tong, Tong Huggins, Jonathan H. Yajima, Masanao Campbell, Joshua D. |
author_facet | Chevalier, Aaron Yang, Shiyi Khurshid, Zainab Sahelijo, Nathan Tong, Tong Huggins, Jonathan H. Yajima, Masanao Campbell, Joshua D. |
author_sort | Chevalier, Aaron |
collection | PubMed |
description | Mutational signatures are patterns of somatic alterations in the genome caused by carcinogenic exposures or aberrant cellular processes. To provide a comprehensive workflow for preprocessing, analysis, and visualization of mutational signatures, we created the Mutational Signature Comprehensive Analysis Toolkit (musicatk) package. musicatk enables users to select different schemas for counting mutation types and to easily combine count tables from different schemas. Multiple distinct methods are available to deconvolute signatures and exposures or to predict exposures in individual samples given a pre-existing set of signatures. Additional exploratory features include the ability to compare signatures to the Catalogue Of Somatic Mutations In Cancer (COSMIC) database, embed tumors in two dimensions with uniform manifold approximation and projection, cluster tumors into subgroups based on exposure frequencies, identify differentially active exposures between tumor subgroups, and plot exposure distributions across user-defined annotations such as tumor type. Overall, musicatk will enable users to gain novel insights into the patterns of mutational signatures observed in cancer cohorts. SIGNIFICANCE: The musicatk package empowers researchers to characterize mutational signatures and tumor heterogeneity with a comprehensive set of preprocessing utilities, discovery and prediction tools, and multiple functions for downstream analysis and visualization. |
format | Online Article Text |
id | pubmed-8639789 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Association for Cancer Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-86397892022-06-01 The Mutational Signature Comprehensive Analysis Toolkit (musicatk) for the Discovery, Prediction, and Exploration of Mutational Signatures Chevalier, Aaron Yang, Shiyi Khurshid, Zainab Sahelijo, Nathan Tong, Tong Huggins, Jonathan H. Yajima, Masanao Campbell, Joshua D. Cancer Res Resource Report Mutational signatures are patterns of somatic alterations in the genome caused by carcinogenic exposures or aberrant cellular processes. To provide a comprehensive workflow for preprocessing, analysis, and visualization of mutational signatures, we created the Mutational Signature Comprehensive Analysis Toolkit (musicatk) package. musicatk enables users to select different schemas for counting mutation types and to easily combine count tables from different schemas. Multiple distinct methods are available to deconvolute signatures and exposures or to predict exposures in individual samples given a pre-existing set of signatures. Additional exploratory features include the ability to compare signatures to the Catalogue Of Somatic Mutations In Cancer (COSMIC) database, embed tumors in two dimensions with uniform manifold approximation and projection, cluster tumors into subgroups based on exposure frequencies, identify differentially active exposures between tumor subgroups, and plot exposure distributions across user-defined annotations such as tumor type. Overall, musicatk will enable users to gain novel insights into the patterns of mutational signatures observed in cancer cohorts. SIGNIFICANCE: The musicatk package empowers researchers to characterize mutational signatures and tumor heterogeneity with a comprehensive set of preprocessing utilities, discovery and prediction tools, and multiple functions for downstream analysis and visualization. American Association for Cancer Research 2021-12-01 2021-10-08 /pmc/articles/PMC8639789/ /pubmed/34625425 http://dx.doi.org/10.1158/0008-5472.CAN-21-0899 Text en ©2021 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license. |
spellingShingle | Resource Report Chevalier, Aaron Yang, Shiyi Khurshid, Zainab Sahelijo, Nathan Tong, Tong Huggins, Jonathan H. Yajima, Masanao Campbell, Joshua D. The Mutational Signature Comprehensive Analysis Toolkit (musicatk) for the Discovery, Prediction, and Exploration of Mutational Signatures |
title | The Mutational Signature Comprehensive Analysis Toolkit (musicatk) for the Discovery, Prediction, and Exploration of Mutational Signatures |
title_full | The Mutational Signature Comprehensive Analysis Toolkit (musicatk) for the Discovery, Prediction, and Exploration of Mutational Signatures |
title_fullStr | The Mutational Signature Comprehensive Analysis Toolkit (musicatk) for the Discovery, Prediction, and Exploration of Mutational Signatures |
title_full_unstemmed | The Mutational Signature Comprehensive Analysis Toolkit (musicatk) for the Discovery, Prediction, and Exploration of Mutational Signatures |
title_short | The Mutational Signature Comprehensive Analysis Toolkit (musicatk) for the Discovery, Prediction, and Exploration of Mutational Signatures |
title_sort | mutational signature comprehensive analysis toolkit (musicatk) for the discovery, prediction, and exploration of mutational signatures |
topic | Resource Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8639789/ https://www.ncbi.nlm.nih.gov/pubmed/34625425 http://dx.doi.org/10.1158/0008-5472.CAN-21-0899 |
work_keys_str_mv | AT chevalieraaron themutationalsignaturecomprehensiveanalysistoolkitmusicatkforthediscoverypredictionandexplorationofmutationalsignatures AT yangshiyi themutationalsignaturecomprehensiveanalysistoolkitmusicatkforthediscoverypredictionandexplorationofmutationalsignatures AT khurshidzainab themutationalsignaturecomprehensiveanalysistoolkitmusicatkforthediscoverypredictionandexplorationofmutationalsignatures AT sahelijonathan themutationalsignaturecomprehensiveanalysistoolkitmusicatkforthediscoverypredictionandexplorationofmutationalsignatures AT tongtong themutationalsignaturecomprehensiveanalysistoolkitmusicatkforthediscoverypredictionandexplorationofmutationalsignatures AT hugginsjonathanh themutationalsignaturecomprehensiveanalysistoolkitmusicatkforthediscoverypredictionandexplorationofmutationalsignatures AT yajimamasanao themutationalsignaturecomprehensiveanalysistoolkitmusicatkforthediscoverypredictionandexplorationofmutationalsignatures AT campbelljoshuad themutationalsignaturecomprehensiveanalysistoolkitmusicatkforthediscoverypredictionandexplorationofmutationalsignatures AT chevalieraaron mutationalsignaturecomprehensiveanalysistoolkitmusicatkforthediscoverypredictionandexplorationofmutationalsignatures AT yangshiyi mutationalsignaturecomprehensiveanalysistoolkitmusicatkforthediscoverypredictionandexplorationofmutationalsignatures AT khurshidzainab mutationalsignaturecomprehensiveanalysistoolkitmusicatkforthediscoverypredictionandexplorationofmutationalsignatures AT sahelijonathan mutationalsignaturecomprehensiveanalysistoolkitmusicatkforthediscoverypredictionandexplorationofmutationalsignatures AT tongtong mutationalsignaturecomprehensiveanalysistoolkitmusicatkforthediscoverypredictionandexplorationofmutationalsignatures AT hugginsjonathanh mutationalsignaturecomprehensiveanalysistoolkitmusicatkforthediscoverypredictionandexplorationofmutationalsignatures AT yajimamasanao mutationalsignaturecomprehensiveanalysistoolkitmusicatkforthediscoverypredictionandexplorationofmutationalsignatures AT campbelljoshuad mutationalsignaturecomprehensiveanalysistoolkitmusicatkforthediscoverypredictionandexplorationofmutationalsignatures |