Researchers use these open source models in various ways. For example, they can analyze large datasets from genomic sequencing projects to identify mutations associated with specific types of cancer. Machine learning models can predict patient outcomes based on historical data, aiding in personalized treatment plans. Bioinformatics tools like GATK help in processing and analyzing genomic data, while platforms like cBioPortal offer an intuitive interface for exploring complex datasets.
