Wilson H. Lee

CAI-Vax designs personalized mRNA cancer vaccines by optimizing antigen sequences based on HLA compatibility, reducing predicted junctional binding while varying performance across prediction models.

The paper describes the process for analyzing RNA sequencing data from crosslink-ligation experiments to detect RNA structures and interactions.

CRIS provides a centralized resource for high-quality RNA structure and interaction data with standardized workflows and tools to support reproducibility and machine learning applications.

The paper introduces PARIS2, a method for efficiently analyzing RNA structures and interactions in cells, revealing new insights into viral RNA conformations and translation mechanisms.