Automated extraction of typing information for bacterial pathogens from whole genome sequence data: Neisseria meningitidis as an exemplar

Abstract excerpt

Whole genome sequence (WGS) data are increasingly used to characterise bacterial pathogens. These data provide detailed information on the genotypes and likely phenotypes of aetiological agents, enabling the relationships of samples from potential disease outbreaks to be established precisely. However, the generation of increasing quantities of sequence data does not, in itself, resolve the problems that many...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Bacterial Infections and Vaccines
• Share to Genomics and Phylogenetic Studies
• Share to Pneumonia and Respiratory Infections