BMC Genomics | 卷:22 |
kataegis: an R package for identification and visualization of the genomic localized hypermutation regions using high-throughput sequencing | |
Xue Lin1  Peng Dai1  Anna Liu2  Li Lv2  Yunyun Hu2  Jian Li2  Xingyu Li2  Pin Chen2  Shuanglin Gu2  Yingying Hua3  | |
[1] Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University; | |
[2] Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University; | |
[3] Traditional Chinese Medicine Department, Fuxing Hospital, Capital Medical University; | |
关键词: Kataegis; Visualization; High-throughput sequencing; R; | |
DOI : 10.1186/s12864-021-07696-x | |
来源: DOAJ |
【 摘 要 】
Abstract 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.
【 授权许可】
Unknown