Identification of pleural infection microbiological patterns by applying next generation sequencing and bioinformatics analysis
N. Kanellakis (Oxford, United Kingdom), E. Bedawi (Oxford, United Kingdom), J. Wrightson (Oxford, United Kingdom), J. Corcoran (Oxford, United Kingdom), R. Hallifax (Oxford, United Kingdom), R. Mercer (Oxford, United Kingdom), V. George (Oxford, United Kingdom), R. Banka (Oxford, United Kingdom), M. Jabeen (Oxford, United Kingdom), R. Asciak (Oxford, United Kingdom), R. Miller (London, United Kingdom), N. Maskell (Bristol, United Kingdom), I. Psallidas (Oxford, United Kingdom), T. Hinks (Oxford, United Kingdom), D. Crook (Oxford, United Kingdom), N. Rahman (Oxford, United Kingdom)
Source: Virtual Congress 2020 – Antibiotic therapy for pneumonia and pleural infections
Disease area: Respiratory infections
Rating:
You must login to grade this presentation.
Share or cite this content
Citations should be made in the following way:
N. Kanellakis (Oxford, United Kingdom), E. Bedawi (Oxford, United Kingdom), J. Wrightson (Oxford, United Kingdom), J. Corcoran (Oxford, United Kingdom), R. Hallifax (Oxford, United Kingdom), R. Mercer (Oxford, United Kingdom), V. George (Oxford, United Kingdom), R. Banka (Oxford, United Kingdom), M. Jabeen (Oxford, United Kingdom), R. Asciak (Oxford, United Kingdom), R. Miller (London, United Kingdom), N. Maskell (Bristol, United Kingdom), I. Psallidas (Oxford, United Kingdom), T. Hinks (Oxford, United Kingdom), D. Crook (Oxford, United Kingdom), N. Rahman (Oxford, United Kingdom). Identification of pleural infection microbiological patterns by applying next generation sequencing and bioinformatics analysis. 4673
You must login to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.
Member's Comments
Related content which might interest you:
Related content which might interest you: