Abstract 192: MutAnt: Mutation annotation machine learning algorithm for pathogenicity evaluation of single nonsynonymous nucleotide substitutions in cancer cells

• Published in: Cancer research (Chicago, Ill.) Vol. 81; no. 13_Supplement; p. 192
• Main Authors: Sarachakov, Aleksandr, Svekolkin, Viktor, Antysheva, Zoia, Brown, Jessica H., Bagaev, Alexander, Fowler, Nathan
• Format: Journal Article
• Language: English
• Published: 01.07.2021

Abstract With the wealth of next-generation sequencing (NGS) produced over the last decade, distinguishing between pathogenic and neutral single nucleotide missense mutations is essential to understanding disease pathogenesis and cancer treatment selection and optimization. Current experimental meth...