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.
Citação do estilo Chicago (17ª ed.)Eyre, D., M. Cule, D. Griffiths, D. Crook, T. Peto, A. Walker, e 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.
Citação MLA (9ª ed.)Eyre, 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.
Nota: a formatação da citação pode não corresponder 100% ao definido pela respectiva norma.