Diagnosis of pathogens causing bacterial meningitis using Nanopore sequencing in a resource-limited setting

The aim of the present study is to compare the performance of 16S rRNA Nanopore sequencing and conventional culture in detecting infectious pathogens in patients with suspected meningitis in a resource-limited setting without extensive bioinformatics expertise.

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Main Authors: Pallerla, Srinivas Reddy (Author) , Van Dong, Do (Author) , Linh, Le Thi Kieu (Author) , Van Son, Trinh (Author) , Quyen, Dao Thanh (Author) , Hoan, Phan Quoc (Author) , Trung, Ngo Tat (Author) , The, Nguyen Trong (Author) , Rüter, Jule (Author) , Boutin, Sébastien (Author) , Nurjadi, Dennis (Author) , Sy, Bui Tien (Author) , Kremsner, Peter G. (Author) , Meyer, Christian G. (Author) , Song, Le Huu (Author) , Velavan, Thirumalaisamy P. (Author)
Format: Article (Journal)
Language:English
Published: 05 September 2022
In: Annals of clinical microbiology and antimicrobials
Year: 2022, Volume: 21, Pages: 1-8
ISSN:1476-0711
DOI:10.1186/s12941-022-00530-6
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/s12941-022-00530-6
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Author Notes:Srinivas Reddy Pallerla, Do Van Dong, Le Thi Kieu Linh, Trinh Van Son, Dao Thanh Quyen, Phan Quoc Hoan, Ngo Tat Trung, Nguyen Trong The, Jule Rüter, Sébastien Boutin, Dennis Nurjadi, Bui Tien Sy, Peter G. Kremsner, Christian G. Meyer, Le Huu Song and Thirumalaisamy P. Velavan
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Summary:The aim of the present study is to compare the performance of 16S rRNA Nanopore sequencing and conventional culture in detecting infectious pathogens in patients with suspected meningitis in a resource-limited setting without extensive bioinformatics expertise.
Item Description:Gesehen am 27.10.2022
Physical Description:Online Resource
ISSN:1476-0711
DOI:10.1186/s12941-022-00530-6