Bioinformatics Tools Used for Whole-genome Sequencing Analysis of Neisseria Gonorrhoeae: a Literature Review

Overview

Journal Brief Funct Genomics

Publisher Oxford University Press

Date 2021 Jun 25

PMID 34170311

Citations 3

Authors

Reema Singh

Anthony Kusalik

Jo-Anne R Dillon

Affiliations

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Abstract

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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