Computational Prediction of MHC Anchor Locations for Neoantigen Identification and Prioritization

Explore a 14-minute conference talk from the Cancer Genomics Consortium Annual Meeting that delves into computational methods for predicting MHC anchor locations to guide neoantigen identification and prioritization. Learn about the importance of accurate cancer genomic testing in patient diagnosis and treatment. Discover the presenter's approach to neoantigen prediction and prioritization, including data collection, computational workflow, and affinity prediction. Examine the use of heat maps for visualization and understand the experimental validation process and results. Gain insights into the potential impact of this research on improving cancer diagnosis and personalized treatment strategies.

Introduction
Neoantigen Prediction
Neoantigen Prioritization
Data Collection
Computational Workflow
Affinity Prediction
Heat Map
Experimental Validation
Experimental Results
Conclusion