What Challenges Do Researchers Face When Using These Tools?
1. Data Volume: The sheer volume of genomic data can be overwhelming. Efficient data storage and processing capabilities are essential.
2. Data Quality: Sequencing errors and low-quality data can lead to false conclusions. Tools like GATK offer quality control features to mitigate these issues.
3. Interoperability: Integrating data from different sources and formats can be challenging. Platforms like cBioPortal aim to standardize and integrate diverse data types.
4. Interpretation: Translating raw data into meaningful biological insights requires expertise and sophisticated algorithms. Knowledge bases like OncoKB help in annotating and interpreting somatic mutations.
