1. Data Management: The vast amount of data generated requires robust bioinformatics tools and storage solutions. 2. Interpretation: Analyzing and interpreting the data to draw meaningful conclusions requires specialized expertise. 3. Quality Control: Ensuring the accuracy and reliability of sequencing data is crucial for valid epidemiological insights.
