Gen2EpiGUI: User-Friendly Pipeline for Analyzing Whole-Genome Sequencing Data for Epidemiological Studies of Neisseria gonorrhoeae

Reema Singh; Trevor Yarmovich; Anthony Kusalik; Jo-Anne R Dillon

doi:10.1097/OLQ.0000000000001206

Gen2EpiGUI: User-Friendly Pipeline for Analyzing Whole-Genome Sequencing Data for Epidemiological Studies of Neisseria gonorrhoeae

Sex Transm Dis. 2020 Oct;47(10):e42-e44. doi: 10.1097/OLQ.0000000000001206.

Authors

Reema Singh, Trevor Yarmovich¹, Anthony Kusalik¹, Jo-Anne R Dillon

Affiliation

¹ Department of Computer Science, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.

PMID: 32496391
DOI: 10.1097/OLQ.0000000000001206

Abstract

We have developed a graphical user interface for our Gen2Epi computational pipeline named Gen2EpiGUI. A total of 594 published whole-genome sequence datasets of Neisseria gonorrhoeae were used to validate the program. Gen2Epi facilitates an understandable analysis of N. gonorrhoeae whole-genome sequence data for users with limited bioinformatics skills.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Computational Biology*
Epidemiologic Studies
Humans
Neisseria gonorrhoeae* / genetics
Whole Genome Sequencing

Grants and funding

148996 /CIHR/Canada