|
1
|
Huang PJ, Lin HH, Lee CC, Chiu LY, Wu SM, Yeh YM, Tang P, Chiu CH, Lyu PC, Tsai PC. CoMutPlotter: a web tool for visual summary of mutations in cancer cohorts. BMC Med Genomics 2019; 12:99. [PMID: 31296206 PMCID: PMC6624176 DOI: 10.1186/s12920-019-0510-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND CoMut plot is widely used in cancer research publications as a visual summary of mutational landscapes in cancer cohorts. This summary plot can inspect gene mutation rate and sample mutation burden with their relevant clinical details, which is a common first step for analyzing the recurrence and co-occurrence of gene mutations across samples. The cBioPortal and iCoMut are two web-based tools that allow users to create intricate visualizations from pre-loaded TCGA and ICGC data. For custom data analysis, only limited command-line packages are available now, making the production of CoMut plots difficult to achieve, especially for researchers without advanced bioinformatics skills. To address the needs for custom data and TCGA/ICGC data comparison, we have created CoMutPlotter, a web-based tool for the production of publication-quality graphs in an easy-of-use and automatic manner. RESULTS We introduce a web-based tool named CoMutPlotter to lower the barriers between complex cancer genomic data and researchers, providing intuitive access to mutational profiles from TCGA/ICGC projects as well as custom cohort studies. A wide variety of file formats are supported by CoMutPlotter to translate cancer mutation profiles into biological insights and clinical applications, which include Mutation Annotation Format (MAF), Tab-separated values (TSV) and Variant Call Format (VCF) files. CONCLUSIONS In summary, CoMutPlotter is the first tool of its kind that supports VCF file, the most widely used file format, as its input material. CoMutPlotter also provides the most-wanted function for comparing mutation patterns between custom cohort and TCGA/ICGC project. Contributions of COSMIC mutational signatures in individual samples are also included in the summary plot, which is a unique feature of our tool. CoMutPlotter is freely available at http://tardis.cgu.edu.tw/comutplotter .
Collapse
Affiliation(s)
- Po-Jung Huang
- Department of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan.,Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Genomic Medicine Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Hou-Hsien Lin
- Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, Taiwan
| | - Chi-Ching Lee
- Department and Graduate Institute of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan
| | - Ling-Ya Chiu
- Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, Taiwan
| | - Shao-Min Wu
- Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yuan-Ming Yeh
- Genomic Medicine Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Petrus Tang
- Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Cheng-Hsun Chiu
- Genomic Medicine Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Ping-Chiang Lyu
- Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, Taiwan.
| | - Pei-Chien Tsai
- Department of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan. .,Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan. .,Genomic Medicine Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan.
| |
Collapse
|