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Mutalisk: a web-based somatic MUTation AnaLyIS toolKit for genomic, transcriptional and epigenomic signatures

Somatic genome mutations occur due to combinations of various intrinsic/extrinsic mutational processes and DNA repair mechanisms. Different molecular processes frequently generate different signatures of somatic mutations in their own favored contexts. As a result, the regional somatic mutation rate...

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Autores principales: Lee, Jongkeun, Lee, Andy Jinseok, Lee, June-Koo, Park, Jongkeun, Kwon, Youngoh, Park, Seongyeol, Chun, Hyonho, Ju, Young Seok, Hong, Dongwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030918/
https://www.ncbi.nlm.nih.gov/pubmed/29790943
http://dx.doi.org/10.1093/nar/gky406
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author Lee, Jongkeun
Lee, Andy Jinseok
Lee, June-Koo
Park, Jongkeun
Kwon, Youngoh
Park, Seongyeol
Chun, Hyonho
Ju, Young Seok
Hong, Dongwan
author_facet Lee, Jongkeun
Lee, Andy Jinseok
Lee, June-Koo
Park, Jongkeun
Kwon, Youngoh
Park, Seongyeol
Chun, Hyonho
Ju, Young Seok
Hong, Dongwan
author_sort Lee, Jongkeun
collection PubMed
description Somatic genome mutations occur due to combinations of various intrinsic/extrinsic mutational processes and DNA repair mechanisms. Different molecular processes frequently generate different signatures of somatic mutations in their own favored contexts. As a result, the regional somatic mutation rate is dependent on the local DNA sequence, the DNA replication/RNA transcription dynamics and epigenomic chromatin organization landscape in the genome. Here, we propose an online computational framework, termed Mutalisk, which correlates somatic mutations with various genomic, transcriptional and epigenomic features in order to understand mutational processes that contribute to the generation of the mutations. This user-friendly tool explores the presence of localized hypermutations (kataegis), dissects the spectrum of mutations into the maximum likelihood combination of known mutational signatures and associates the mutation density with numerous regulatory elements in the genome. As a result, global patterns of somatic mutations in any query sample can be efficiently screened, thus enabling a deeper understanding of various mutagenic factors. This tool will facilitate more effective downstream analyses of cancer genome sequences to elucidate the diversity of mutational processes underlying the development and clonal evolution of cancer cells. Mutalisk is freely available at http://mutalisk.org.
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spelling pubmed-60309182018-07-10 Mutalisk: a web-based somatic MUTation AnaLyIS toolKit for genomic, transcriptional and epigenomic signatures Lee, Jongkeun Lee, Andy Jinseok Lee, June-Koo Park, Jongkeun Kwon, Youngoh Park, Seongyeol Chun, Hyonho Ju, Young Seok Hong, Dongwan Nucleic Acids Res Web Server Issue Somatic genome mutations occur due to combinations of various intrinsic/extrinsic mutational processes and DNA repair mechanisms. Different molecular processes frequently generate different signatures of somatic mutations in their own favored contexts. As a result, the regional somatic mutation rate is dependent on the local DNA sequence, the DNA replication/RNA transcription dynamics and epigenomic chromatin organization landscape in the genome. Here, we propose an online computational framework, termed Mutalisk, which correlates somatic mutations with various genomic, transcriptional and epigenomic features in order to understand mutational processes that contribute to the generation of the mutations. This user-friendly tool explores the presence of localized hypermutations (kataegis), dissects the spectrum of mutations into the maximum likelihood combination of known mutational signatures and associates the mutation density with numerous regulatory elements in the genome. As a result, global patterns of somatic mutations in any query sample can be efficiently screened, thus enabling a deeper understanding of various mutagenic factors. This tool will facilitate more effective downstream analyses of cancer genome sequences to elucidate the diversity of mutational processes underlying the development and clonal evolution of cancer cells. Mutalisk is freely available at http://mutalisk.org. Oxford University Press 2018-07-02 2018-05-22 /pmc/articles/PMC6030918/ /pubmed/29790943 http://dx.doi.org/10.1093/nar/gky406 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://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/), 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 Web Server Issue
Lee, Jongkeun
Lee, Andy Jinseok
Lee, June-Koo
Park, Jongkeun
Kwon, Youngoh
Park, Seongyeol
Chun, Hyonho
Ju, Young Seok
Hong, Dongwan
Mutalisk: a web-based somatic MUTation AnaLyIS toolKit for genomic, transcriptional and epigenomic signatures
title Mutalisk: a web-based somatic MUTation AnaLyIS toolKit for genomic, transcriptional and epigenomic signatures
title_full Mutalisk: a web-based somatic MUTation AnaLyIS toolKit for genomic, transcriptional and epigenomic signatures
title_fullStr Mutalisk: a web-based somatic MUTation AnaLyIS toolKit for genomic, transcriptional and epigenomic signatures
title_full_unstemmed Mutalisk: a web-based somatic MUTation AnaLyIS toolKit for genomic, transcriptional and epigenomic signatures
title_short Mutalisk: a web-based somatic MUTation AnaLyIS toolKit for genomic, transcriptional and epigenomic signatures
title_sort mutalisk: a web-based somatic mutation analyis toolkit for genomic, transcriptional and epigenomic signatures
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030918/
https://www.ncbi.nlm.nih.gov/pubmed/29790943
http://dx.doi.org/10.1093/nar/gky406
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