Editorial: Computational Predictions, Dynamic Tracking, and Evolutionary Analysis of Antibiotic Resistance Through the Mining of Microbial Genomes and Metagenomic Data.

MLA

Wang, Liang, et al. “Editorial: Computational Predictions, Dynamic Tracking, and Evolutionary Analysis of Antibiotic Resistance Through the Mining of Microbial Genomes and Metagenomic Data.” Frontiers in Microbiology, vol. 13, Apr. 2022, pp. 1–3. EBSCOhost, https://doi.org/10.3389/fmicb.2022.880967.

APA

Wang, L., Tay, A. C. Y., Li, J., & Zhao, Q. (2022). Editorial: Computational Predictions, Dynamic Tracking, and Evolutionary Analysis of Antibiotic Resistance Through the Mining of Microbial Genomes and Metagenomic Data. Frontiers in Microbiology, 13, 1–3. https://doi.org/10.3389/fmicb.2022.880967

Chicago

Wang, Liang, Alfred Chin Yen Tay, Jian Li, and Qi Zhao. 2022. “Editorial: Computational Predictions, Dynamic Tracking, and Evolutionary Analysis of Antibiotic Resistance Through the Mining of Microbial Genomes and Metagenomic Data.” Frontiers in Microbiology 13 (April): 1–3. doi:10.3389/fmicb.2022.880967.