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

<p>This dataset includes relevant files for developing the TAILVAR score designed to assess the functional impact of <strong>stop-loss variants</strong> occurring at stop codons (TAA, TGA, TAG). <strong>TAILVAR</strong>&nbsp;is built using a Random Forest model that predicts the pathogenicity of&nbsp;<strong>stop-loss variants</strong>. By integrating a combination of in-silico prediction scores, transcript features, and protein context information,&nbsp;<strong>TAILVAR</strong> provides a score ranging from 0 to 1, indicating the probability of a variant being pathogenic.</p> <p>For more information, please visit&nbsp;<a href="https://github.com/dr-yoon/TAILVAR">https://github.com/dr-yoon/TAILVAR</a></p>