Chemical biology-whole genome engineering datasets predict new antibacterial combinations
- DOI
- 10.1099/mgen.0.000718
- Published
- 2021-12-24
- Container
- Microbial Genomics
- Publisher
- Microbiology Society
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1099/mgen.0.000718,
title = {Chemical biology-whole genome engineering datasets predict new antibacterial combinations},
author = {Arthur K. Turner and Muhammad Yasir and Sarah Bastkowski and Andrea Telatin and Andrew Page and Mark Webber and Ian Charles},
year = {2021},
journal = {Microbial Genomics},
doi = {10.1099/mgen.0.000718},
url = {https://doi.org/10.1099/mgen.0.000718}
}RIS
TY - JOUR TI - Chemical biology-whole genome engineering datasets predict new antibacterial combinations AU - Arthur K. Turner AU - Muhammad Yasir AU - Sarah Bastkowski AU - Andrea Telatin AU - Andrew Page AU - Mark Webber AU - Ian Charles PY - 2021 JO - Microbial Genomics DO - 10.1099/mgen.0.000718 UR - https://doi.org/10.1099/mgen.0.000718 ER -
APA
Turner, A. K., Yasir, M., Bastkowski, S., Telatin, A., Page, A., Webber, M., & Charles, I. (2021). Chemical biology-whole genome engineering datasets predict new antibacterial combinations. Microbial Genomics. https://doi.org/10.1099/mgen.0.000718
Source records
- crossref · retrieved 2026-09-26T20:01:45.152Z