Abstract
Antibiotic resistance poses a significant threat to public health worldwide, complicating the treatment of bacterial infections. Bioinformatics approaches have become essential in understanding the genetic basis of antibiotic resistance, identifying resistance genes, and tracking their spread. This article reviews the key bioinformatics tools and techniques used to study antibiotic resistance, including genome-wide analysis, comparative genomics, and metagenomics. We also explore the challenges in applying bioinformatics to antibiotic resistance studies and the future directions for advancing resistance detection and management.
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