The rapid growth of omics technologies has led to the use of bioinformatics as a powerful tool for unravelling scientific puzzles. However, the obstacles of bioinformatics are compounded by the complexity of data processing and the distinct nature of omics data types, particularly in terms of visualization and statistics. We developed a comprehensive and free platform, CFViSA, to facilitate effortless visualization and statistical analysis of omics data by the scientific community. CFViSA was constructed using the Scala programming language and utilizes the AKKA toolkit for the web server and MySQL for the database server. The visualization and statistical analysis were performed with the R program. CFViSA integrates two omics data analysis pipelines (microbiome and transcriptome analysis) and an extensive array of 79 analysis tools spanning simple sequence processing, visualization, and statistics available for various omics data, including microbiome and transcriptome data. CFViSA starts from an analysis interface, paralleling a demonstration full course to help users understand operating principles and scientifically set the analysis parameters. Once analysis is conducted, users can enter the task history interface for figure adjustments, and then a complete series of results, including statistics, feature tables and figures. All the graphic layouts were printed with necessary statistics and a traceback function recording the options for analysis and visualization; these statistics were excluded from the five competing methods. CFViSA is a user-friendly bioinformatics cloud platform with detailed guidelines for integrating functions in multi-omics analysis with real-time visualization adjustment and complete series of results provision. CFViSA is available at .

中文翻译：

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CFViSA：一个全面且免费的组学数据可视化和统计平台

组学技术的快速发展导致生物信息学成为解决科学难题的有力工具。然而，数据处理的复杂性和组学数据类型的独特性质，特别是在可视化和统计方面，加剧了生物信息学的障碍。我们开发了一个全面且免费的平台 CFViSA，以促进科学界轻松地对组学数据进行可视化和统计分析。 CFViSA 使用 Scala 编程语言构建，并使用 AKKA 工具包作为 Web 服务器，使用 MySQL 作为数据库服务器。使用 R 程序进行可视化和统计分析。 CFViSA 集成了两个组学数据分析管道（微生物组和转录组分析）和广泛的 79 种分析工具，涵盖简单的序列处理、可视化和统计，可用于各种组学数据，包括微生物组和转录组数据。 CFViSA从分析界面开始，并行演示全程，帮助用户了解工作原理，科学设置分析参数。分析完成后，用户可以进入任务历史界面进行图形调整，然后得到一系列完整的结果，包括统计数据、特征表和图形。所有图形布局都打印有必要的统计数据和记录分析和可视化选项的回溯功能；这些统计数据被排除在五种竞争方法之外。 CFViSA 是一个用户友好的生物信息学云平台，提供详细的指南，用于将多组学分析中的功能集成到实时可视化调整和完整的系列结果提供中。 CFViSA 的可用地址为 。