PT  - JOURNAL ARTICLE
AU  - Michael Inouye
AU  - Harriet Dashnow
AU  - Lesley Raven
AU  - Mark B. Schultz
AU  - Bernard J. Pope
AU  - Takehiro Tomita
AU  - Justin Zobel
AU  - Kathryn E. Holt
TI  - SRST2: Rapid genomic surveillance for public health and hospital microbiology labs
AID  - 10.1101/006627
DP  - 2014 Jan 01
TA  - bioRxiv
PG  - 006627
4099  - http://biorxiv.org/content/early/2014/07/28/006627.short
4100  - http://biorxiv.org/content/early/2014/07/28/006627.full
AB  - Rapid molecular typing of bacterial pathogens is critical for public health epidemiology, surveillance and infection control, yet routine use of whole genome sequencing (WGS) for these purposes poses significant challenges. Here we present SRST2, a read mapping-based tool for fast and accurate detection of genes, alleles and multi-locus sequence types (MLST) from WGS data. Using >900 genomes from common pathogens, we show SRST2 is highly accurate and outperforms assembly-based methods in terms of both gene detection and allele assignment. Here we have demonstrated the use of SRST2 for microbial genome surveillance in a variety of public health and hospital settings. In the face of rising threats of antimicrobial resistance and emerging virulence amongst bacterial pathogens, SRST2 represents a powerful tool for rapidly extracting clinically useful information from raw WGS data. Source code is available from http://katholt.github.io/srst2/.