Department of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan.
Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
BMC Med Genomics. 2019 Jul 11;12(Suppl 5):99. doi: 10.1186/s12920-019-0510-y.
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.
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.
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 .
CoMut 图在癌症研究出版物中被广泛用作癌症队列突变景观的可视化摘要。该汇总图可以检查基因的突变率和样本的突变负担及其相关的临床细节,这是分析样本间基因突变的重现和共发生的常见第一步。cBioPortal 和 iCoMut 是两个基于网络的工具,允许用户从预加载的 TCGA 和 ICGC 数据中创建复杂的可视化效果。对于自定义数据分析,现在仅提供有限的命令行包,使得难以生成 CoMut 图,特别是对于没有高级生物信息学技能的研究人员来说。为了满足自定义数据和 TCGA/ICGC 数据比较的需求,我们创建了 CoMutPlotter,这是一个基于网络的工具,用于以易用和自动化的方式生成出版质量的图形。
我们引入了一个名为 CoMutPlotter 的基于网络的工具,以降低复杂的癌症基因组数据与研究人员之间的障碍,为 TCGA/ICGC 项目以及自定义队列研究提供直观的突变谱访问。CoMutPlotter 支持多种文件格式,可将癌症突变谱转化为生物学见解和临床应用,包括突变注释格式 (MAF)、制表符分隔值 (TSV) 和变体调用格式 (VCF) 文件。
总之,CoMutPlotter 是第一个支持 VCF 文件的此类工具,VCF 文件是最广泛使用的文件格式,作为其输入材料。CoMutPlotter 还提供了比较自定义队列和 TCGA/ICGC 项目之间突变模式的最需要的功能。个体样本中 COSMIC 突变特征的贡献也包含在汇总图中,这是我们工具的独特功能。CoMutPlotter 可在 http://tardis.cgu.edu.tw/comutplotter 免费获得。