The recent breakthroughs in high-throughput technologies have resulted in a vast amount of big-data resources. However, it remains a significant challenge to transfer the knowledge from the public data to a new research project due to study design gaps and differences in data organization.
Focusing on cancer immunology research, we integrated large-scale omics data and developed web platforms with interactive analysis modules. In the first project, we processed the omics data for more than 33K samples in 188 tumor cohorts from public databases, 998 tumors from 12 ICB clinical studies, and eight CRISPR screens that identified gene modulators of the anticancer immune response.