Using Neisseria meningitidis genomic diversity to inform outbreak strain identification.

Saved in:

Bibliographic Details
Title:	Using Neisseria meningitidis genomic diversity to inform outbreak strain identification.
Authors:	Retchless AC; Division of Bacterial Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America., Chen A; Division of Bacterial Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America., Chang HY; Division of Bacterial Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America., Blain AE; Division of Bacterial Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America., McNamara LA; Division of Bacterial Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America., Mustapha MM; Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America., Harrison LH; Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America., Wang X; Division of Bacterial Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Source:	PLoS pathogens [PLoS Pathog] 2021 May 18; Vol. 17 (5), pp. e1009586. Date of Electronic Publication: 2021 May 18 (Print Publication: 2021).
Publication Type:	Journal Article; Research Support, Non-U.S. Gov't
Journal Info:	Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238921 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7374 (Electronic) Linking ISSN: 15537366 NLM ISO Abbreviation: PLoS Pathog Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1553-7374
DOI:	10.1371/journal.ppat.1009586