A statistical genomics framework to trace bacterial genomic predictors of clinical outcomes in Staphylococcus aureus bacteremia.
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| Title: | A statistical genomics framework to trace bacterial genomic predictors of clinical outcomes in Staphylococcus aureus bacteremia. |
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| Authors: | Giulieri SG; Department of Microbiology and Immunology, The University of Melbourne at the Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia; Victorian Infectious Disease Service, The Royal Melbourne Hospital at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia; Department of Infectious Diseases, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia; Department of Infectious Diseases, Austin Health, Heidelberg, VIC 3084, Australia. Electronic address: stefano.giulieri@unimelb.edu.au., Guérillot R; Department of Microbiology and Immunology, The University of Melbourne at the Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia., Holmes NE; Department of Infectious Diseases, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia; Department of Infectious Diseases, Austin Health, Heidelberg, VIC 3084, Australia., Baines SL; Department of Microbiology and Immunology, The University of Melbourne at the Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia; Centre for Pathogen Genomics, The University of Melbourne, Melbourne, VIC 3000, Australia., Hachani A; Department of Microbiology and Immunology, The University of Melbourne at the Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia., Hayes AS; Department of Microbiology and Immunology, The University of Melbourne at the Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia., Daniel DS; Department of Microbiology and Immunology, The University of Melbourne at the Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia., Seemann T; Centre for Pathogen Genomics, The University of Melbourne, Melbourne, VIC 3000, Australia., Davis JS; Department of Infectious Diseases, John Hunter Hospital, New Lambton Heights, NSW 2305, Australia; Menzies School of Health Research, Charles Darwin University, Casuarina, NT 0810, Australia., Van Hal S; Department of Infectious Diseases and Microbiology, Royal Prince Alfred Hospital, Camperdown, NSW 2050, Australia; Central Clinical School, University of Sydney, Camperdown, NSW 2050, Australia., Tong SYC; Victorian Infectious Disease Service, The Royal Melbourne Hospital at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia; Department of Infectious Diseases, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia., Stinear TP; Department of Microbiology and Immunology, The University of Melbourne at the Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia., Howden BP; Department of Microbiology and Immunology, The University of Melbourne at the Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia; Department of Infectious Diseases, Austin Health, Heidelberg, VIC 3084, Australia; Centre for Pathogen Genomics, The University of Melbourne, Melbourne, VIC 3000, Australia. |
| Source: | Cell reports [Cell Rep] 2023 Sep 26; Vol. 42 (9), pp. 113069. Date of Electronic Publication: 2023 Sep 12. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Cell Press Country of Publication: United States NLM ID: 101573691 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2211-1247 (Electronic) NLM ISO Abbreviation: Cell Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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