SeqSero2: Rapid and Improved Salmonella Serotype Determination Using Whole-Genome Sequencing Data | Zendy

Shaokang Zhang | Zendy; Henk C. den Bakker | Zendy; Shaoting Li | Zendy; Jessica Chen | Zendy; Blake A. Dinsmore | Zendy; Charlotte Lane | Zendy; A.C. Lauer | Zendy; Patricia I. Fields | Zendy; Xiangyu Deng | Zendy

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SeqSero2: Rapid and Improved Salmonella Serotype Determination Using Whole-Genome Sequencing Data

Author(s) -

Shaokang Zhang,

Henk C. den Bakker,

Shaoting Li,

Jessica Chen,

Blake A. Dinsmore,

Charlotte Lane,

A.C. Lauer,

Patricia I. Fields,

Xiangyu Deng

Publication year - 2019

Publication title -

applied and environmental microbiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.552

H-Index - 324

eISSN - 1070-6291

pISSN - 0099-2240

DOI - 10.1128/aem.01746-19

Subject(s) - subtyping , salmonella , serotype , whole genome sequencing , genome , dna sequencing , workflow , biology , computational biology , genetics , computer science , dna , virology , database , gene , bacteria , programming language

Serotyping is the basis of public health surveillance ofSalmonella . It remains a first-line subtyping method even as surveillance continues to be transformed by whole-genome sequencing. SeqSero allows the integration ofSalmonella serotyping into a whole-genome-sequencing-based laboratory workflow while maintaining continuity with the classic serotyping scheme. SeqSero2, informed by extensive testing and application of SeqSero in the United States and other countries, incorporates important improvements and updates that further strengthen its application in routine and large-scale surveillance ofSalmonella by whole-genome sequencing.

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