In silico serotyping of E. coli from short read data identifies limited novel O-loci but extensive diversity of O:H serotype combinations within and between pathogenic lineages
Danielle J Ingle, Mary Valcanis, Alex Kuzevski, Marija Tauschek, Michael Inouye, Tim Stinear, Myron M Levine, Roy M Robins-Browne, Kathryn E Holt
Microbial Genomics | MICROBIOLOGY SOC | Published : 2016
Awarded by NHMRC of Australia (Australian Heart Foundation Career Development Fellowship)
Awarded by Bill & Melinda Gates Foundation
Awarded by Victorian Life Sciences Computation Initiative (VLSCI)
This work was supported by the NHMRC of Australia [Project Grants 1043830 to K. E. H., 1009296 and 1067428 to R. R. B.; Fellowship 1061409 to K. E. H.; Fellowship 1061435 to M. I. (co-funded by the Australian Heart Foundation Career Development Fellowship)]; the Bill & Melinda Gates Foundation (Grant 38874 to M. M. L.); and the Victorian Life Sciences Computation Initiative (VLSCI) (Grant VR0082). We thank Gordon Dougan and the sequencing teams at the Wellcome Trust Sanger Institute for sequencing the EPEC isolate collection.