Orthology information has been used for searching patterns in high-dimensional data, allowing transferring functional information between species. The key concept behind this strategy is that orthologous genes share ancestry to some extent. While reconstructing the history of a single gene is feasible with the existing computational resources, the reconstruction of entire biological systems remains challenging. Here we present Bridge, a new algorithm designed to infer the evolutionary root of orthologous genes in large-scale evolutionary analysis. The Bridge algorithm infers the evolutionary root of a given gene based on the distribution of its orthologs in a species tree. The Bridge algorithm is implemented in R and can be used either to assess genetic changes across the evolutionary history of orthologous groups or to infer the onset of specific traits in a biological system.

中文翻译：

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Bridge：大规模进化分析中寻根直系同源基因的新算法

直系学信息已用于搜索高维数据中的模式，从而允许在物种之间传输功能信息。这一策略背后的关键概念是直系同源基因在某种程度上共享祖先。虽然利用现有的计算资源重建单个基因的历史是可行的，但重建整个生物系统仍然具有挑战性。在这里，我们提出了 Bridge，这是一种新算法，旨在在大规模进化分析中推断直系同源基因的进化根。 Bridge 算法根据物种树中直系同源物的分布来推断给定基因的进化根。 Bridge 算法在 R 中实现，可用于评估直系同源群体进化史上的遗传变化，或推断生物系统中特定性状的出现。