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Comparison of metagenomic and traditional methods for diagnosis of E. coli enteric infections.

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Title: Comparison of metagenomic and traditional methods for diagnosis of E. coli enteric infections.
Authors: Royer C; School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA., Patin NV; School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA., Jesser KJ; Department of Environmental and Occupational Health, University of Washington, Seattle, Washington, USA., Peña-Gonzalez A; Max Planck Tandem Group in Computational Biology, Department of Biological Sciences, Universidad de los Andes, Bogotà, Colombia., Hatt JK; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA., Trueba G; Institute of Microbiology, Universidad San Francisco de Quito, Quito, Ecuador., Levy K; Department of Environmental and Occupational Health, University of Washington, Seattle, Washington, USA., Konstantinidis KT; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Source: MBio [mBio] 2024 Apr 10; Vol. 15 (4), pp. e0342223. Date of Electronic Publication: 2024 Mar 15.
Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, N.I.H., Intramural
Journal Info: Publisher: American Society for Microbiology Country of Publication: United States NLM ID: 101519231 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2150-7511 (Electronic) NLM ISO Abbreviation: mBio Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: Comparison of metagenomic and traditional methods for diagnosis of E. coli enteric infections.
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  Data: <searchLink fieldCode="AU" term="%22Royer+C%22">Royer C</searchLink>; School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA.<br /><searchLink fieldCode="AU" term="%22Patin+NV%22">Patin NV</searchLink>; School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA.<br /><searchLink fieldCode="AU" term="%22Jesser+KJ%22">Jesser KJ</searchLink>; Department of Environmental and Occupational Health, University of Washington, Seattle, Washington, USA.<br /><searchLink fieldCode="AU" term="%22Peña-Gonzalez+A%22">Peña-Gonzalez A</searchLink>; Max Planck Tandem Group in Computational Biology, Department of Biological Sciences, Universidad de los Andes, Bogotà, Colombia.<br /><searchLink fieldCode="AU" term="%22Hatt+JK%22">Hatt JK</searchLink>; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.<br /><searchLink fieldCode="AU" term="%22Trueba+G%22">Trueba G</searchLink>; Institute of Microbiology, Universidad San Francisco de Quito, Quito, Ecuador.<br /><searchLink fieldCode="AU" term="%22Levy+K%22">Levy K</searchLink>; Department of Environmental and Occupational Health, University of Washington, Seattle, Washington, USA.<br /><searchLink fieldCode="AU" term="%22Konstantinidis+KT%22">Konstantinidis KT</searchLink>; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
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  Data: <searchLink fieldCode="JN" term="%22101519231%22">MBio</searchLink> [mBio] 2024 Apr 10; Vol. 15 (4), pp. e0342223. <i>Date of Electronic Publication: </i>2024 Mar 15.
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        Value: 10.1128/mbio.03422-23
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              Text: 2024 Apr 10
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