TAILVAR (Terminal codon Analysis and Improved prediction of Lengthened VARiants)

This dataset includes relevant files for developing the TAILVAR score designed to assess the functional impact of stop-loss variants occurring at stop codons (TAA, TGA, TAG). TAILVAR is built using a Random Forest model that predicts the pathogenicity of stop-loss variants. By integrating a combination of in-silico prediction scores, transcript features, and protein context information, TAILVAR provides a score ranging from 0 to 1, indicating the probability of a variant being pathogenic.

For more information, please visit https://github.com/dr-yoon/TAILVAR