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.
Cytowanie według stylu Chicago (wyd. 17)Eyre, D., M. Cule, D. Griffiths, D. Crook, T. Peto, A. Walker, i 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.
Cytowanie według stylu MLA (wyd. 9)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.
Uwaga: Te cytaty mogą odróżniać się od wytycznej twojego fakultetu..