CAGI5: Objective performance assessments of predictions based on the Evolutionary Action equation.

ABSTRACT: Many computational approaches estimate the effect of coding variants, but their predictions often disagree with each other. These contradictions confound users and raise questions regarding reliability. Performance assessments can indicate the expected accuracy for each method and highlight advantages and limitations. The Critical Assessment of Genome Interpretation (CAGI) community aims to organize objective and systematic assessments: They challenge predictors on unpublished experimental and clinical data and assign independent assessors to evaluate the submissions. We participated in CAGI experiments as predictors, using the Evolutionary Action (EA) method to estimate the fitness effect of coding mutations. EA is untrained, uses homology information, and relies on a formal equation: The

SUBMITTER: Katsonis P 

PROVIDER: S-EPMC6900054 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature