Phylogenomic data provide valuable opportunities for studying evolutionary rates and timescales. These analyses require theoretical and statistical tools based on molecular clocks. We present ClockstaRX, a flexible platform for exploring and testing evolutionary rate signals in phylogenomic data. Here, information about evolutionary rates in branches across gene trees is placed in Euclidean space, allowing data transformation, visualization, and hypothesis testing. ClockstaRX implements formal tests for identifying groups of loci and branches that make a large contribution to patterns of rate variation. This information can then be used to test for drivers of genomic evolutionary rates or to inform models for molecular dating. Drawing on the results of a simulation study, we recommend forms of data exploration and filtering that might be useful prior to molecular-clock analyses.

中文翻译：

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ClockstaRX：用基因组数据测试分子钟假设

系统基因组数据为研究进化速率和时间尺度提供了宝贵的机会。这些分析需要基于分子钟的理论和统计工具。我们推出了 ClockstaRX，这是一个灵活的平台，用于探索和测试系统发育数据中的进化速率信号。在这里，有关基因树分支进化速率的信息被放置在欧几里得空间中，允许数据转换、可视化和假设检验。 ClockstaRX 实施正式测试来识别对速率变化模式做出重大贡献的基因座和分支组。然后，该信息可用于测试基因组进化速率的驱动因素或为分子测年模型提供信息。根据模拟研究的结果，我们建议在分子时钟分析之前可能有用的数据探索和过滤形式。