What Challenges Exist in Sequencing Data Interpretation?
Interpreting sequencing data in cancer research presents several challenges:
Heterogeneity: Tumors are often heterogeneous, containing a mix of different cell types and genetic mutations. Data Volume: The vast amount of data generated requires substantial computational resources and advanced bioinformatics tools. Clinical Relevance: Distinguishing between driver mutations that promote cancer and passenger mutations that are benign. Ethical and Privacy Concerns: Protecting patient data and ensuring ethical use of genetic information.
