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kataegis: an R package for identification and visualization of the genomic localized hypermutation regions using high-throughput sequencing

BACKGROUND: Genomic localized hypermutation regions were found in cancers, which were reported to be related to the prognosis of cancers. This genomic localized hypermutation is quite different from the usual somatic mutations in the frequency of occurrence and genomic density. It is like a mutation...

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Autores principales: Lin, Xue, Hua, Yingying, Gu, Shuanglin, Lv, Li, Li, Xingyu, Chen, Pin, Dai, Peng, Hu, Yunyun, Liu, Anna, Li, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196519/
https://www.ncbi.nlm.nih.gov/pubmed/34118871
http://dx.doi.org/10.1186/s12864-021-07696-x
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author Lin, Xue
Hua, Yingying
Gu, Shuanglin
Lv, Li
Li, Xingyu
Chen, Pin
Dai, Peng
Hu, Yunyun
Liu, Anna
Li, Jian
author_facet Lin, Xue
Hua, Yingying
Gu, Shuanglin
Lv, Li
Li, Xingyu
Chen, Pin
Dai, Peng
Hu, Yunyun
Liu, Anna
Li, Jian
author_sort Lin, Xue
collection PubMed
description BACKGROUND: Genomic localized hypermutation regions were found in cancers, which were reported to be related to the prognosis of cancers. This genomic localized hypermutation is quite different from the usual somatic mutations in the frequency of occurrence and genomic density. It is like a mutations “violent storm”, which is just what the Greek word “kataegis” means. RESULTS: There are needs for a light-weighted and simple-to-use toolkit to identify and visualize the localized hypermutation regions in genome. Thus we developed the R package “kataegis” to meet these needs. The package used only three steps to identify the genomic hypermutation regions, i.e., i) read in the variation files in standard formats; ii) calculate the inter-mutational distances; iii) identify the hypermutation regions with appropriate parameters, and finally one step to visualize the nucleotide contents and spectra of both the foci and flanking regions, and the genomic landscape of these regions. CONCLUSIONS: The kataegis package is available on Bionconductor/Github (https://github.com/flosalbizziae/kataegis), which provides a light-weighted and simple-to-use toolkit for quickly identifying and visualizing the genomic hypermuation regions.
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spelling pubmed-81965192021-06-15 kataegis: an R package for identification and visualization of the genomic localized hypermutation regions using high-throughput sequencing Lin, Xue Hua, Yingying Gu, Shuanglin Lv, Li Li, Xingyu Chen, Pin Dai, Peng Hu, Yunyun Liu, Anna Li, Jian BMC Genomics Software BACKGROUND: Genomic localized hypermutation regions were found in cancers, which were reported to be related to the prognosis of cancers. This genomic localized hypermutation is quite different from the usual somatic mutations in the frequency of occurrence and genomic density. It is like a mutations “violent storm”, which is just what the Greek word “kataegis” means. RESULTS: There are needs for a light-weighted and simple-to-use toolkit to identify and visualize the localized hypermutation regions in genome. Thus we developed the R package “kataegis” to meet these needs. The package used only three steps to identify the genomic hypermutation regions, i.e., i) read in the variation files in standard formats; ii) calculate the inter-mutational distances; iii) identify the hypermutation regions with appropriate parameters, and finally one step to visualize the nucleotide contents and spectra of both the foci and flanking regions, and the genomic landscape of these regions. CONCLUSIONS: The kataegis package is available on Bionconductor/Github (https://github.com/flosalbizziae/kataegis), which provides a light-weighted and simple-to-use toolkit for quickly identifying and visualizing the genomic hypermuation regions. BioMed Central 2021-06-12 /pmc/articles/PMC8196519/ /pubmed/34118871 http://dx.doi.org/10.1186/s12864-021-07696-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Software
Lin, Xue
Hua, Yingying
Gu, Shuanglin
Lv, Li
Li, Xingyu
Chen, Pin
Dai, Peng
Hu, Yunyun
Liu, Anna
Li, Jian
kataegis: an R package for identification and visualization of the genomic localized hypermutation regions using high-throughput sequencing
title kataegis: an R package for identification and visualization of the genomic localized hypermutation regions using high-throughput sequencing
title_full kataegis: an R package for identification and visualization of the genomic localized hypermutation regions using high-throughput sequencing
title_fullStr kataegis: an R package for identification and visualization of the genomic localized hypermutation regions using high-throughput sequencing
title_full_unstemmed kataegis: an R package for identification and visualization of the genomic localized hypermutation regions using high-throughput sequencing
title_short kataegis: an R package for identification and visualization of the genomic localized hypermutation regions using high-throughput sequencing
title_sort kataegis: an r package for identification and visualization of the genomic localized hypermutation regions using high-throughput sequencing
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196519/
https://www.ncbi.nlm.nih.gov/pubmed/34118871
http://dx.doi.org/10.1186/s12864-021-07696-x
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