What are the Challenges of Using GATK in Cancer Genomics?
While GATK is a powerful tool, it comes with certain challenges:
Computational Resources: GATK's analysis can be computationally intensive, requiring substantial computing power and storage. Data Quality: The accuracy of GATK's variant calls depends heavily on the quality of the input sequencing data, necessitating rigorous data preprocessing. Complexity: The toolkit's extensive features and options can be overwhelming, requiring expertise to navigate and optimize for specific research needs.
