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ShanghaiTech University Knowledge Management System
Sigflow: an automated and comprehensive pipeline for cancer genome mutational signature analysis | |
2021-06-01 | |
发表期刊 | BIOINFORMATICS (IF:4.4[JCR-2023],7.6[5-Year]) |
ISSN | 1460-2059 |
发表状态 | 正式接收 |
DOI | 10.1093/bioinformatics/btaa895 |
摘要 | 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 (SBS), doublet base substitution (DBS), small insertion and deletion (INDEL), 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 (AFL) v3.0 and it is freely available at https://github.com/ShixiangWang/sigflow or https://hub.docker.com/r/shixiangwang/sigflow.
Contact: liuxs@shanghaitech.edu.cn
Supplementary Information: Supplementary data are available at Bioinformatics online. |
关键词 | Cancer genome Sigflow Mutational signature |
收录类别 | SCI ; SCIE |
WOS记录号 | WOS:000703906200013 |
引用统计 | 正在获取...
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文献类型 | 期刊论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/123393 |
专题 | 生命科学与技术学院_硕士生 生命科学与技术学院_PI研究组_刘雪松组 生命科学与技术学院_博士生 |
通讯作者 | Liu, Xue-Song |
作者单位 | ShanghaiTech University, School of Life Science and Technology |
第一作者单位 | 生命科学与技术学院 |
通讯作者单位 | 生命科学与技术学院 |
第一作者的第一单位 | 生命科学与技术学院 |
推荐引用方式 GB/T 7714 | Wang, Shixiang,Tao, Ziyu,Wu, Tao,et al. Sigflow: an automated and comprehensive pipeline for cancer genome mutational signature analysis[J]. BIOINFORMATICS,2021. |
APA | Wang, Shixiang,Tao, Ziyu,Wu, Tao,&Liu, Xue-Song.(2021).Sigflow: an automated and comprehensive pipeline for cancer genome mutational signature analysis.BIOINFORMATICS. |
MLA | Wang, Shixiang,et al."Sigflow: an automated and comprehensive pipeline for cancer genome mutational signature analysis".BIOINFORMATICS (2021). |
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