Whole-genome sequencing (WGS) data are well established for the investigation of gonococcal transmission, antimicrobial resistance prediction, population structure determination and population dynamics. A variety of bioinformatics tools, repositories, services and platforms have been applied to manage and analyze Neisseria gonorrhoeae WGS datasets. This review provides an overview of the various bioinformatics approaches and resources used in 105 published studies (as of 30 April 2021). The challenges in the analysis of N. gonorrhoeae WGS datasets, as well as future bioinformatics requirements, are also discussed.

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用于淋病奈瑟菌全基因组测序分析的生物信息学工具：文献综述

全基因组测序 (WGS) 数据已很好地用于研究淋球菌传播、抗菌素耐药性预测、种群结构确定和种群动态。各种生物信息学工具、存储库、服务和平台已被用于管理和分析淋病奈瑟菌 WGS 数据集。本综述概述了 105 项已发表研究（截至 2021 年 4 月 30 日）中使用的各种生物信息学方法和资源。还讨论了淋病奈瑟菌 WGS 数据集分析中的挑战以及未来的生物信息学要求。