Bioinformatics tools used for whole-genome sequencing analysis of Neisseria gonorrhoeae: a literature review. (25th June 2021)

• Record Type: Journal Article
• Authors: Singh, Reema; Kusalik, Anthony; Dillon, Jo-Anne R
• Is Part Of: Briefings in functional genomics. Volume 21:Number 2(2022)
• Page Start: 78
• Page End: 89
• Publication Date: 2021-06-25
• Subjects: bioinformatics -- Neisseria gonorrhoeae -- whole genome sequencing -- antimicrobial resistance -- molecular epidemiology -- strain typing -- population structure; Genomics -- Methodology -- Periodicals; Genomics -- Technological innovations -- Periodicals; 572.86072
• DOI: 10.1093/bfgp/elab028
• Languages: English
• ISSNs: 2041-2649

Abstract

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.