Identifying mixed Mycobacterium tuberculosis infections from whole genome sequence data
Author:
Funder
Medical Research Council
Wellcome Trust
Fundação para a Ciência e a Tecnologia
Publisher
Springer Science and Business Media LLC
Subject
Genetics,Biotechnology
Link
http://link.springer.com/content/pdf/10.1186/s12864-018-4988-z.pdf
Reference37 articles.
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2. Holt KE, Thieu Nga TV, Thanh DP, Vinh H, Kim DW, Vu Tra MP, et al. Tracking the establishment of local endemic populations of an emergent enteric pathogen. Proc Natl Acad Sci U S A. 2013;110:17522–7. https://doi.org/10.1073/pnas.1308632110 .
3. Holden MTG, Hsu L, Kurt K, Weinert L a, Mather AE, Harris SR, et al. A genomic portrait of the emergences, evolution, and global spread of methicillin-resistant Staphylococcus aureus. Genome Res. 2013;23:653–64.
4. Cohen T, van Helden PD, Wilson D, Colijn C, McLaughlin MM, Abubakar I, et al. Mixed-strain Mycobacterium tuberculosis infections and the implications for tuberculosis treatment and control. Clin Microbiol Rev. 2012;25:708–19.
5. Eyre DW, Cule ML, Griffiths D, Crook DW, Peto TEA, Walker AS, et al. Detection of mixed infection from bacterial whole genome sequence data allows assessment of its role in Clostridium difficile transmission. PLoS Comput Biol. 2013;9(5):e1003059.
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