Eyre, D., Cule, M., Griffiths, D., Crook, D., Peto, T., Walker, A., & Wilson, D. (2013). Detection of mixed infection from bacterial whole genome sequence data allows assessment of its role in Clostridium difficile transmission. Public Library of Science.
Chicago Style (17. basım) AtıfEyre, D., M. Cule, D. Griffiths, D. Crook, T. Peto, A. Walker, ve D. Wilson. Detection of Mixed Infection from Bacterial Whole Genome Sequence Data Allows Assessment of Its Role in Clostridium Difficile Transmission. Public Library of Science, 2013.
MLA (9th ed.) AtıfEyre, D., et al. Detection of Mixed Infection from Bacterial Whole Genome Sequence Data Allows Assessment of Its Role in Clostridium Difficile Transmission. Public Library of Science, 2013.
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