- Abstract:
-
Exponentially increasing amounts of unprocessed bacterial and viral genomic sequence data are stored in the global archives. The ability to query these data for sequence search terms would facilitate both basic research and applications such as real-time genomic epidemiology and surveillance. However, this is not possible with current methods. To solve this problem, we combine knowledge of microbial population genomics with computational methods devised for web search to produce a searchable ...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted Manuscript
- Files:
-
-
(pdf, 1.7mb)
-
- Publisher copy:
- 10.1038/s41587-018-0010-1
-
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- Publisher:
- Nature Publisher's website
- Journal:
- Nature Biotechnology Journal website
- Volume:
- 37
- Issue:
- 2
- Pages:
- 152-159
- Publication date:
- 2019-02-04
- Acceptance date:
- 2018-12-20
- DOI:
- EISSN:
-
1546-1696
- ISSN:
-
1087-0156
- Pubs id:
-
pubs:969536
- URN:
-
uri:822271d1-e5f6-4397-950d-476b6836ccd4
- UUID:
-
uuid:822271d1-e5f6-4397-950d-476b6836ccd4
- Local pid:
- pubs:969536
- Language:
- English
- Keywords:
- Copyright holder:
- Bradley et al.
- Copyright date:
- 2019
- Notes:
- © The Authors, under exclusive licence to Springer Nature America, Inc. 2019.
Journal article
Ultrafast search of all deposited bacterial and viral genomic data
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