What are the Challenges in Genomic Data Integration?
Despite its potential, genomic data integration faces several challenges:
Data Complexity: The vast amount of genomic data generated from different platforms can be overwhelming and requires sophisticated computational tools for analysis. Data Standardization: Variability in data formats and quality across different studies makes integration difficult. Interoperability: Ensuring that data from different sources can be combined and analyzed together efficiently. Privacy and Security: Protecting patient data while enabling data sharing and collaboration among researchers.
