Amazon EC2 supports a variety of use cases in cancer research:
1. Genomic Sequencing: High-throughput sequencing technologies generate large volumes of data that need to be processed and analyzed. EC2 instances can be used to execute bioinformatics pipelines that align, assemble, and annotate genomic data. 2. Molecular Dynamics Simulations: Researchers use simulations to study the interactions of biomolecules. EC2's high-performance computing capabilities can accelerate these simulations, providing insights into the mechanisms of cancer progression and drug interactions. 3. Machine Learning and AI: Cancer diagnostics, treatment predictions, and personalized medicine can benefit from machine learning models trained on large datasets. EC2 instances with GPU capabilities can significantly reduce the training time for these models.
