Title
Variant Score Ranker-a web application for intuitive missense variant prioritization.
Abstract
Motivation: The correct classification of missense variants as benign or pathogenic remains challenging. Pathogenic variants are expected to have higher deleterious prediction scores than benign variants in the same gene. However, most of the existing variant annotation tools do not reference the score range of benign population variants on gene level. Results: We present a web-application, Variant Score Ranker, which enables users to rapidly annotate variants and perform gene-specific variant score ranking on the population level. We also provide an intuitive example of how gene- and population-calibrated variant ranking scores can improve epilepsy variant prioritization.
Year
DOI
Venue
2019
10.1093/bioinformatics/btz252
BIOINFORMATICS
Field
DocType
Volume
Missense mutation,Human genetics,Data mining,Information retrieval,Computer science,Prioritization,Web application
Journal
35
Issue
ISSN
Citations 
21
1367-4803
0
PageRank 
References 
Authors
0.34
0
15