What Challenges Do Researchers Face When Using Bioinformatics Tools in Cancer Research?
Despite their advantages, bioinformatics tools come with challenges:
1. Data Complexity: Cancer data is often complex and heterogeneous, making it difficult to analyze and interpret. 2. Data Integration: Combining data from different sources and modalities (genomics, proteomics, clinical data) is challenging but necessary for comprehensive analysis. 3. Computational Resources: High-throughput data analysis requires significant computational power and storage capacity. 4. Interdisciplinary Skills: Researchers need expertise in both biology and computational science to effectively use bioinformatics tools.
