Optimizing a Whole-Genome Sequencing Data Processing Pipeline for Precision Surveillance of Health Care-Associated Infections

Optimizing a Whole-Genome Sequencing Data Processing Pipeline for Precision Surveillance of Health Care-Associated Infections

The surveillance of health care-associated infection (HAI) is an essential element of the infection control program. While whole-genome sequencing (WGS) has widely been adopted for genomic surveillance, its data processing remains to be improved. Here, we propose a three-level data processing pipeli...

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Bibliographic Details
Main Authors: Weihua Huang, Guiqing Wang, Changhong Yin, Donald Chen, Abhay Dhand, Melissa Chanza, Nevenka Dimitrova, John T. Fallon
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Microorganisms
Subjects:
health care-associated infection (HAI)
genomic surveillance
whole-genome sequencing (WGS)
k-mer
data processing pipeline
Online Access:https://www.mdpi.com/2076-2607/7/10/388

Internet

https://www.mdpi.com/2076-2607/7/10/388

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