Additional file 1: of Identifying mixed Mycobacterium tuberculosis infections from whole genome sequence data
Sobkowiak, B, Glynn, JR
, Houben, Rein M. G. J.
, Mallard, K, Phelan, JE
, Guerra-Assunção, JA, Banda, L, Mzembe, T, Viveiros, M, McNerney, R, Parkhill, J, Crampin, AC
and Clark, TG
(2018).
Additional file 1: of Identifying mixed Mycobacterium tuberculosis infections from whole genome sequence data.
[Dataset].
Figshare.
https://doi.org/10.6084/m9.figshare.6968636.v1
Strain information and full results table for clinically-derived Malawi samples, in silico replicate samples and Portuguese replicate samples. Lineage, total number of SNPs, number of heterozygous sites and the mixture analysis result for both Bayesian clustering and heterozygous sites approaches is included for each sample
Keywords
Mycobacterium tuberculosis, Tuberculosis, Bioinformatics, Epidemiology, Genomic analysis, Mixed infectionItem Type | Dataset |
---|---|
Capture method | Experiment |
Date | 14 August 2018 |
Geographical area covered (offline during plugin upgrade) |
North Latitude East Longitude South Latitude West Longitude -9.88973 34.8227 -14.4314 33.3725 |
Language(s) of written materials | English |
Creator(s) |
Sobkowiak, B, Glynn, JR |
LSHTM Faculty/Department |
Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) Faculty of Epidemiology and Population Health > Dept of Population Health (2012- ) Faculty of Infectious and Tropical Diseases > Dept of Pathogen Molecular Biology (-2019) |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Funders |
Project Funder Grant Number Funder URI |
Date Deposited | 28 Aug 2018 10:49 |
Last Modified | 20 Aug 2021 15:31 |
Publisher | Figshare |
Explore Further
- Dept of Infectious Disease Epidemiology (-2023)
- Dept of Population Health (2012- )
- Dept of Pathogen Molecular Biology (-2019)
- Data record - Figshare (Online Data Resource)
- GitHub (Data)
No files available. Please consult associated links.
- Data record - Figshare (Online Data Resource)
- GitHub (Data)
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ORCID: https://orcid.org/0000-0001-9325-4576
ORCID: https://orcid.org/0000-0003-4132-7467
ORCID: https://orcid.org/0000-0001-8323-7019
ORCID: https://orcid.org/0000-0002-1513-4330
ORCID: https://orcid.org/0000-0001-8985-9265