The use of RNA-sequencing (RNA-seq) in molecular biology research and clinical settings has increased significantly over the past decade. Despite its widespread adoption, there is a lack of simple and interactive tools to analyze and explore RNA-seq data. Many established tools require programming or Unix/Bash knowledge to analyze and visualize results. This requirement presents a significant barrier for many researchers to efficiently analyze and present RNA-seq data. Here we present BEAVR, a Browser-based tool for the Exploration And Visualization of RNA-seq data. BEAVR is an easy-to-use tool that facilitates interactive analysis and exploration of RNA-seq data. BEAVR is developed in R and uses DESeq2 as its engine for differential gene expression (DGE) analysis, but assumes users have no prior knowledge of R or DESeq2. BEAVR allows researchers to easily obtain a table of differentially-expressed genes with statistical testing and then visualize the results in a series of graphs, plots and heatmaps. Users are able to customize many parameters for statistical testing, dealing with variance, clustering methods and pathway analysis to generate high quality figures. BEAVR simplifies analysis for novice users but also streamlines the RNA-seq analysis process for experts by automating several steps. BEAVR and its documentation can be found on GitHub at https://github.com/developerpiru/BEAVR. BEAVR is available as a Docker container at https://hub.docker.com/r/pirunthan/beavr.

中文翻译：

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BEAVR：基于浏览器的工具，用于探索和可视化RNA序列数据。

在过去的十年中，RNA测序（RNA-seq）在分子生物学研究和临床环境中的使用显着增加。尽管已被广泛采用，但缺乏用于分析和探索RNA序列数据的简单交互式工具。许多已建立的工具都需要编程或Unix / Bash知识来分析和可视化结果。该要求为许多研究人员有效分析和显示RNA-seq数据带来了重大障碍。在这里，我们介绍BEAVR，这是一种基于浏览器的工具，用于RNA序列数据的探索和可视化。BEAVR是易于使用的工具，可促进对RNA-seq数据的交互式分析和探索。BEAVR是用R开发的，并使用DESeq2作为其差异基因表达（DGE）分析的引擎，但假定用户不具备R或DESeq2的先验知识。BEAVR使研究人员可以通过统计测试轻松获得差异表达基因的表格，然后以一系列图形，曲线图和热图可视化结果。用户能够自定义许多参数以进行统计测试，处理方差，聚类方法和路径分析以生成高质量的数据。BEAVR简化了新手用户的分析，还通过自动执行几个步骤来简化了专家的RNA序列分析过程。可以在GitHub上的https://github.com/developerpiru/BEAVR上找到BEAVR及其文档。BEAVR可作为Docker容器在https://hub.docker.com/r/pirunthan/beavr上获得。用户能够自定义许多参数以进行统计测试，处理方差，聚类方法和路径分析以生成高质量的数据。BEAVR简化了新手用户的分析，还通过自动执行几个步骤来简化了专家的RNA序列分析过程。可以在GitHub上的https://github.com/developerpiru/BEAVR上找到BEAVR及其文档。BEAVR可作为Docker容器在https://hub.docker.com/r/pirunthan/beavr上获得。用户能够自定义许多参数以进行统计测试，处理方差，聚类方法和路径分析以生成高质量的数据。BEAVR简化了新手用户的分析，还通过自动执行几个步骤来简化了专家的RNA序列分析过程。可以在GitHub上的https://github.com/developerpiru/BEAVR上找到BEAVR及其文档。BEAVR可作为Docker容器在https://hub.docker.com/r/pirunthan/beavr上获得。