Quality control is crucial when working with FASTQ files to ensure accurate downstream analysis. The quality scores present in FASTQ files indicate the probability that a base call is incorrect. Tools like FastQC are commonly used to assess the quality of sequencing data, providing insights into potential issues such as low-quality reads or adapter contamination. High-quality data is essential for reliable mutation detection, which is critical in cancer research and diagnosis.
