Dr. Jeremy Goecks will share how cancer researchers are using the machine learning capabilities of the Galaxy project, one of the largest and most widely used open-source platforms for biomedical data science, to predict therapeutic responses and analyze tumor spatial biology. In addition to Galaxy’s machine learning functions, cancer researchers can use it to access cutting-edge analysis methods, reproduce and share complex computational analyses, and perform large-scale analyses across many data sets. Dr. Goecks will also discuss how NCI’s Human Tumor Atlas Network—a series of open-source atlases showing the 3-dimensional cellular, morphological, and molecular features of human cancers—can be used in conjunction with Galaxy.