Scientists have improved methods to detect antibiotic resistance genes in metagenomic samples. They found that mutations in genes can affect the accuracy of detection. Factors like genome size and sequencing platforms also influence the results. The new approach provides more reliable detection of antibiotic resistance in real and simulated datasets.