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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37703880 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A statistical genomics framework to trace bacterial genomic predictors of clinical outcomes in Staphylococcus aureus bacteremia. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Giulieri+SG%22">Giulieri SG</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Guérillot+R%22">Guérillot R</searchLink>; Department of Microbiology and Immunology, The University of Melbourne at the Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia.<br /><searchLink fieldCode="AU" term="%22Holmes+NE%22">Holmes NE</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Baines+SL%22">Baines SL</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Hachani+A%22">Hachani A</searchLink>; Department of Microbiology and Immunology, The University of Melbourne at the Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia.<br /><searchLink fieldCode="AU" term="%22Hayes+AS%22">Hayes AS</searchLink>; Department of Microbiology and Immunology, The University of Melbourne at the Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia.<br /><searchLink fieldCode="AU" term="%22Daniel+DS%22">Daniel DS</searchLink>; Department of Microbiology and Immunology, The University of Melbourne at the Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia.<br /><searchLink fieldCode="AU" term="%22Seemann+T%22">Seemann T</searchLink>; Centre for Pathogen Genomics, The University of Melbourne, Melbourne, VIC 3000, Australia.<br /><searchLink fieldCode="AU" term="%22Davis+JS%22">Davis JS</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Van+Hal+S%22">Van Hal S</searchLink>; Department of Infectious Diseases and Microbiology, Royal Prince Alfred Hospital, Camperdown, NSW 2050, Australia; Central Clinical School, University of Sydney, Camperdown, NSW 2050, Australia.<br /><searchLink fieldCode="AU" term="%22Tong+SYC%22">Tong SYC</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Stinear+TP%22">Stinear TP</searchLink>; Department of Microbiology and Immunology, The University of Melbourne at the Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia.<br /><searchLink fieldCode="AU" term="%22Howden+BP%22">Howden BP</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101573691%22">Cell reports</searchLink> [Cell Rep] 2023 Sep 26; Vol. 42 (9), pp. 113069. <i>Date of Electronic Publication: </i>2023 Sep 12. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Cell+Press%22">Cell Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101573691 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2211-1247 (Electronic) <i>NLM ISO Abbreviation: </i>Cell Rep <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37703880 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.celrep.2023.113069 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 113069 Titles: – TitleFull: A statistical genomics framework to trace bacterial genomic predictors of clinical outcomes in Staphylococcus aureus bacteremia. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Giulieri SG – PersonEntity: Name: NameFull: Guérillot R – PersonEntity: Name: NameFull: Holmes NE – PersonEntity: Name: NameFull: Baines SL – PersonEntity: Name: NameFull: Hachani A – PersonEntity: Name: NameFull: Hayes AS – PersonEntity: Name: NameFull: Daniel DS – PersonEntity: Name: NameFull: Seemann T – PersonEntity: Name: NameFull: Davis JS – PersonEntity: Name: NameFull: Van Hal S – PersonEntity: Name: NameFull: Tong SYC – PersonEntity: Name: NameFull: Stinear TP – PersonEntity: Name: NameFull: Howden BP IsPartOfRelationships: – BibEntity: Dates: – D: 26 M: 09 Text: 2023 Sep 26 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 2211-1247 Numbering: – Type: volume Value: 42 – Type: issue Value: 9 Titles: – TitleFull: Cell reports Type: main |
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