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Comparison of classical multi-locus sequence typing software for next-generation sequencing data.


ABSTRACT: Multi-locus sequence typing (MLST) is a widely used method for categorizing bacteria. Increasingly, MLST is being performed using next-generation sequencing (NGS) data by reference laboratories and for clinical diagnostics. Many software applications have been developed to calculate sequence types from NGS data; however, there has been no comprehensive review to date on these methods. We have compared eight of these applications against real and simulated data, and present results on: (1) the accuracy of each method against traditional typing methods, (2) the performance on real outbreak datasets, (3) the impact of contamination and varying depth of coverage, and (4) the computational resource requirements.

SUBMITTER: Page AJ 

PROVIDER: S-EPMC5610716 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

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Comparison of classical multi-locus sequence typing software for next-generation sequencing data.

Page Andrew J AJ   Alikhan Nabil-Fareed NF   Carleton Heather A HA   Seemann Torsten T   Keane Jacqueline A JA   Katz Lee S LS  

Microbial genomics 20170704 8


Multi-locus sequence typing (MLST) is a widely used method for categorizing bacteria. Increasingly, MLST is being performed using next-generation sequencing (NGS) data by reference laboratories and for clinical diagnostics. Many software applications have been developed to calculate sequence types from NGS data; however, there has been no comprehensive review to date on these methods. We have compared eight of these applications against real and simulated data, and present results on: (1) the ac  ...[more]

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