Microbial Genomics Laboratory, Institut Pasteur Montevideo, Montevideo, Montevideo 11400, Uruguay.
Center for Innovation in Epidemiological Surveillance, Institut Pasteur Montevideo, Montevideo, Montevideo 11400, Uruguay.
STAR Protoc. 2021 Sep 29;2(4):100802. doi: 10.1016/j.xpro.2021.100802. eCollection 2021 Dec 17.
Multiple downstream analyses are necessary to interpret the output of bacterial pangenome reconstruction software. This requires integrating diverse kinds of genetic and phenotypic data, which to date are left to each user's criterion. To fill this gap, we created Pagoo, a pangenome post-processing tool that leverages a standardized but flexible and extensible framework for data integration, analysis, and storage. Here, we provide the protocol for running Pagoo and performing from simple to more complex comparative analyses on bacterial pangenome data. For complete details on the use and execution of this protocol, please refer to Ferrés and Iraola (2021).
需要进行多种下游分析来解释细菌泛基因组重建软件的输出。这需要整合各种遗传和表型数据,迄今为止,这些数据都是由每个用户的标准决定的。为了填补这一空白,我们创建了 Pagoo,这是一种泛基因组后处理工具,它利用了一个标准化但灵活和可扩展的数据集成、分析和存储框架。在这里,我们提供了运行 Pagoo 的方案,并对细菌泛基因组数据进行了从简单到更复杂的比较分析。有关此方案的使用和执行的完整详细信息,请参见 Ferrés 和 Iraola(2021)。