PT  - JOURNAL ARTICLE
AU  - Minh Duc Cao
AU  - Devika Ganesamoorthy
AU  - Alysha G. Elliott
AU  - Huihui Zhang
AU  - Matthew A. Cooper
AU  - Lachlan Coin
TI  - Real-time strain typing and analysis of antibiotic resistance potential using Nanopore MinION sequencing
AID  - 10.1101/019356
DP  - 2015 Jan 01
TA  - bioRxiv
PG  - 019356
4099  - http://biorxiv.org/content/early/2015/05/15/019356.short
4100  - http://biorxiv.org/content/early/2015/05/15/019356.full
AB  - Clinical pathogen sequencing has significant potential to drive informed treatment of patients with unknown bacterial infection. However, the lack of rapid sequencing technologies with concomitant analysis has impeded clinical adoption in infection diagnosis. Here we demonstrate that commercially-available Nanopore sequencing devices can identify bacterial species and strain information with less than one hour of sequencing time, initial drug-resistance profiles within 2 hours, and a complete resistance profile within 12 hours. We anticipate these devices and associated analysis methods may become useful clinical tools to guide appropriate therapy in time-critical clinical presentations such as bacteraemia and sepsis.