The occurrence of highly resistant bacterial pathogens has risen in recent years, causing immense strain on the healthcare industry. Hospital-acquired infections are arguably of most concern, as bacterial outbreaks in clinical settings provide an ideal environment for proliferation among vulnerable populations. Understanding these outbreaks beyond what can be determined with traditional clinical diagnostics and implementing these new techniques routinely in the hospital environment has now become a major focus. This brief review will discuss the three main whole genome sequence techniques available today, and how they are being used to further discriminate bacterial outbreaks in nosocomial settings.In recent decades, society has witnessed a rapid and alarming increase in highly resistant pathogens causing human disease, to the extent that the World Health Organization (WHO) has labelled antimicrobial resistance (AMR) as, 'a serious threat to global public health' 1 . The challenge of AMR is arguably greatest in health-care facilities, which present a unique environment for pathogens to proliferate and infect those most vulnerable. Once within the hospital, these pathogens can be readily spread due to the close proximity of patients and the mass of shared vectors in the envi-
Short-read sequencing in nosocomial settingsMany hospitals worldwide already appreciate the power of WGS analysis, having integrated it into several published investigations [5][6][7] . The advantages of WGS are most accessible through the use of short-read sequencing as exemplified by the Illumina platform. In addition to being both high-throughput and cost-effective, analysis tools specific for short-read sequencing are well established, making it a useful and reliable research tool.One of the main advantages of WGS is the ability to detect single nucleotide variants (SNV). Detection of SNV can allow prediction of phenotypic changes, such as enhanced resistant to antibiotics (for example, via the loss of a functional outer membrane porin cause by indels or point mutations [8][9][10] ). When coupled with metadata, SNV data can also be used to predict transmission pathways by inferring transmission directionality via the accumulation of SNV over time. Short-read data are also routinely used to determine presence or absence of genes using read mapping or short-read assembly techniques.Carbapenem-resistant Enterobacteriaceae (CRE) are among the most prevalent clinically relevant organisms, designated as an urgent threat by the Centers for Disease Control and Prevention 11 .Snitkin et al. 12 were amongst the first to apply WGS to identify transmission pathways in a CRE outbreak that could not be resolved using traditional epidemiological investigations alone. Recently, we have used WGS to investigate a suspected CRE outbreak in a Brisbane hospital 13 . Using Illumina short-read sequencing, we were able to determine transmission of a carbapenemaseproducing Enterobacter cloacae sequence type (ST) 90 strain within the intensive care unit (ICU) be...