Journal article
Population and functional genomics of Neisseria revealed with gene-by-gene approaches
- Abstract:
- Rapid low-cost whole-genome sequencing (WGS) is revolutionizing microbiology; however, complementary advances in accessible, reproducible, and rapid analysis techniques are required to realize the potential of these data. Here, investigations of the genus Neisseria illustrated the gene-by-gene conceptual approach to the organization and analysis of WGS data. Using the gene and its link to phenotype as a starting point, the BIGSdb database, which powers the PubMLST databases, enables the assembly of large open-access collections of annotated genomes that provide insight into the evolution of the Neisseria, the epidemiology of meningococcal and gonococcal disease, and mechanisms of Neisseria pathogenicity.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 697.3KB, Terms of use)
-
- Publisher copy:
- 10.1128/JCM.00301-16
Authors
+ Wellcome Trust
More from this funder
- Funder identifier:
- https://ror.org/029chgv08
- Grant:
- 104992
- 087622
- Publisher:
- American Society of Microbiology
- Journal:
- Journal of Clinical Microbiology More from this journal
- Volume:
- 54
- Issue:
- 8
- Pages:
- 1949-1955
- Publication date:
- 2016-07-25
- Acceptance date:
- 2016-04-13
- DOI:
- EISSN:
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1098-660X
- ISSN:
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0095-1137
- Pmid:
-
27098959
- Language:
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English
- Pubs id:
-
pubs:619035
- UUID:
-
uuid:d116b071-5a2c-4154-ada7-f6a93b17b6ea
- Local pid:
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pubs:619035
- Source identifiers:
-
619035
- Deposit date:
-
2016-09-27
Terms of use
- Copyright holder:
- Maiden and Harrison
- Copyright date:
- 2016
- Rights statement:
- Copyright © 2016 Maiden and Harrison. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.
- Licence:
- CC Attribution (CC BY)
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