Identifying a protein's function is crucial to reveal its role in the cellular complex. Computationally, the most common approach is to search for homologous proteins in a large database of proteins of known function using BLAST. One goal of such an analysis is the identification and visualization of the protein in the taxonomy of interest. Another goal is the reconstruction of the phylogenetic history of the protein. However, the BLAST result provides information about the occurrence of the protein in the taxonomy and its putative function mainly in a tabular format. This requires manual interventions and makes the taxonomic identification laborious. Although various tools exist to visualize and annotate large-scale trees, none of them intuitively and interactively visualizes the protein's occurrence in the taxonomy for different taxonomic ranks. To target this gap, we developed BLASTphylo, a web tool that combines BLAST with automatic taxonomic mapping and phylogenetic analysis and provides the results in interactive visualizations. We demonstrate the functionalities of BLASTphylo in two case studies.

中文翻译：

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BLASTphylo：用于原核基因分类和系统发育分析的交互式网络工具。

识别蛋白质的功能对于揭示其在细胞复合物中的作用至关重要。计算上，最常见的方法是使用 BLAST 在已知功能的大型蛋白质数据库中搜索同源蛋白质。这种分析的目标之一是在感兴趣的分类中识别和可视化蛋白质。另一个目标是重建蛋白质的系统发育历史。然而，BLAST 结果主要以表格形式提供有关蛋白质在分类中的出现及其假定功能的信息。这需要人工干预，并使分类识别变得困难。尽管存在各种工具来可视化和注释大型树，但它们都没有直观且交互式地可视化蛋白质在不同分类等级的分类中的出现。为了解决这一差距，我们开发了 BLASTphylo，这是一种网络工具，它将 BLAST 与自动分类图谱和系统发育分析相结合，并以交互式可视化方式提供结果。我们在两个案例研究中展示了 BLASTphylo 的功能。