Zhai Jing, Pitteloud Nelly, Santoni Federico A
Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Service of Endocrinology, Diabetology and Metabolism, Lausanne University Hospital, Lausanne, Switzerland.
BMC Bioinformatics. 2025 Aug 13;26(1):211. doi: 10.1186/s12859-025-06238-6.
The rapid expansion of next-generation sequencing (NGS) technologies has generated vast amounts of genomic data, creating a growing demand for secure, scalable, and accessible tools to support variant interpretation. However, many existing solutions are command-line based, rely on cloud or server infrastructures that may pose data privacy risks, lack flexibility in supporting both VCF, CSV and TSV formats, or struggle to handle the scale and complexity of modern genomic datasets. There is a clear need for a user-friendly, locally operated application capable of efficiently processing annotated variant data for large-scale cohort level analysis.
We introduce GenMasterTable, a free, secure, and cross-platform desktop application designed to simplify variant analysis through an intuitive graphical user interface (GUI). As the first tool to enable comprehensive cohort-level analysis from VCF, CSV to TSV files, GenMasterTable provides advanced functionality for concatenation, filtering, summarizing, and visualizing large-scale annotated datasets. Tailored for users without programming expertise, it enables rapid and accurate exploration of genetic variants, making it a practical solution for both research and clinical settings.
GenMasterTable addresses critical limitations in current variant analysis workflows by combining usability, data security, and scalability. Its support for multiple input formats and locally executed operations empowers clinicians, geneticists, and researchers to perform comprehensive variant analysis efficiently without the need for programming expertise.
The online version contains supplementary material available at 10.1186/s12859-025-06238-6.
下一代测序(NGS)技术的迅速发展产生了大量基因组数据,对支持变异解读的安全、可扩展且可访问的工具的需求日益增长。然而,许多现有解决方案基于命令行,依赖可能带来数据隐私风险的云或服务器基础设施,在支持VCF、CSV和TSV格式方面缺乏灵活性,或者难以处理现代基因组数据集的规模和复杂性。显然需要一个用户友好的、本地运行的应用程序,能够高效处理带注释的变异数据以进行大规模队列水平分析。
我们推出了GenMasterTable,这是一款免费、安全且跨平台的桌面应用程序,旨在通过直观的图形用户界面(GUI)简化变异分析。作为首个支持从VCF、CSV到TSV文件进行全面队列水平分析的工具,GenMasterTable为连接、过滤、汇总和可视化大规模带注释数据集提供了高级功能。它专为没有编程专业知识的用户量身定制,能够快速准确地探索基因变异,使其成为研究和临床环境的实用解决方案。
GenMasterTable通过结合可用性、数据安全性和可扩展性,解决了当前变异分析工作流程中的关键限制。它对多种输入格式的支持以及本地执行的操作,使临床医生、遗传学家和研究人员无需编程专业知识就能高效地进行全面的变异分析。
在线版本包含可在10.1186/s12859-025-06238-6获取的补充材料。