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Watch a 24-minute webinar exploring computational methods for analyzing cancer neoantigens derived from aberrant RNA splicing. Led by bioinformatician Dr. Daniel P. Wickland, learn about the SPLICE-neo module developed to identify neoantigens from aberrant RNA transcripts, focusing on DNA mutations within splice sites and de novo RNA aberrant splicings. Discover how this builds upon the REAL-neo computational framework for identifying and prioritizing HLA-presented neoantigens from various genetic alterations including somatic mutations, insertions, deletions, and gene fusions. Gain insights into Dr. Wickland's expertise in developing analytical approaches for translational research in complex diseases like glioma, breast cancer, and Alzheimer's disease, supporting the advancement of personalized therapeutics and precision medicine. PACE continuing education credits are available upon completion through Labroots' platform.
