Additional file 1: of Identifying mixed Mycobacterium tuberculosis infections from whole genome sequence data

Sobkowiak, B, Glynn, JRORCID logo, Houben, Rein M. G. J.ORCID logo, Mallard, K, Phelan, JEORCID logo, Guerra-Assunção, JA, Banda, L, Mzembe, T, Viveiros, M, McNerney, R, Parkhill, J, Crampin, ACORCID logo and Clark, TGORCID logo (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
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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 infection

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