Cita APA (7a ed.)

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.

Cita Chicago Style (17a ed.)

Eyre, D., M. Cule, D. Griffiths, D. Crook, T. Peto, A. Walker, y 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.

Cita 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.