VEST (Variant Effect Scoring Tool)

Case ID:
C13463
Disclosure Date:
2/26/2015
Description:
VEST (Variant Effect Scoring Tool) is a machine learning method that predicts the pathogenicity of missense and insertion/deletion variants observed through genome sequencing, allowing them to be prioritized in subsequent functional studies.
Patent Information:
Inventors:
Category(s):
For Information, Contact:
Seth Zonies
szonies1@jhmi.edu
410-614-0300
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