Researchers use bioinformatics platforms in various ways:
Data Mining: Extracting meaningful information from large datasets to identify patterns and correlations. Visualization Tools: Platforms often include tools to visualize data in the form of graphs, heatmaps, and networks, which help in interpreting the results. Comparative Analysis: Comparing cancer datasets with normal tissue datasets to identify cancer-specific alterations. Predictive Modeling: Using machine learning algorithms to predict patient outcomes based on genetic and clinical data. Target Identification: Identifying potential drug targets by analyzing the molecular pathways involved in cancer.
