In Silico Spoligotyping
Coll, F
; Mallard, K; Preston, M; Bentley, S; Parkhill, J; Mcnerney, R; Martin, N and Clark, T
(2012).
In Silico Spoligotyping.
[Dataset].
London School of Hygiene & Tropical Medicine, London, United Kingdom.
https://web.archive.org/web/20140726124623/http://pathogenseq.lshtm.ac.uk/
; Mallard, K; Preston, M; Bentley, S; Parkhill, J; Mcnerney, R; Martin, N and Clark, T
(2012).
In Silico Spoligotyping.
[Dataset].
London School of Hygiene & Tropical Medicine, London, United Kingdom.
https://web.archive.org/web/20140726124623/http://pathogenseq.lshtm.ac.uk/
Spoligotyping is designed to address TB epidemiology and diagnosis by clustering samples into strain-types using differential fingerprinting patterns. Whilst advances in sequencing technologies are leading to whole genome bacterial characterisation, spoligotyping is still a technology of choice in the field. To bridge the gap, we have developed SpolPred, software to predict the spoligotype from raw sequence reads.
Keywords
Spoligotyping; Mycobacterium tuberculosis; Tuberculosis| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Capture method | Other |
| Date | 2012 |
| Language(s) of written materials | English |
| Creator(s) |
Coll, F; Mallard, K; Preston, M; Bentley, S; Parkhill, J; Mcnerney, R; Martin, N and Clark, T
|
| LSHTM Faculty/Department |
Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) Faculty of Infectious and Tropical Diseases > Dept of Pathogen Molecular Biology (-2019) |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 09 Jan 2018 12:51 |
| Last Modified | 08 Oct 2024 10:59 |
| Publisher | London School of Hygiene & Tropical Medicine |
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