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This study focuses on the optimization of multiple sequence alignments (MSAs) to improve bacterial identification techniques. By comparing new sequences with established sequences in protein families, we can conduct phylogenetic analyses to uncover evolutionary relationships among bacteria. The optimization process aids in identifying conserved domains and elements across sequences, allowing for a detailed comparison of similarity regions among various organisms. Additionally, this method facilitates the identification of probes for related sequences, enhancing diagnostic precision.
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