CORE
🇺🇦Â
 make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Additional file 3 of Performance of in silico prediction tools for the classification of rare BRCA1/2 missense variants in clinical diagnostics
Authors
Christoph Engel (218744)
Corinna Ernst (4796460)
+5Â more
Eric Hahnen (112053)
Jan Hauke (112033)
Jonas Weber (4891453)
Michael Nothnagel (69111)
Rita K. Schmutzler (112064)
Publication date
Publisher
Doi
Cite
Abstract
Table S2. The table lists previous studies investigating the performance of Align-GVGD, SIFT, MutationTaster or PolyPhen-2, the characteristics of the data sets utilized, and the observed values. (PDF 79 kb
Similar works
Full text
Available Versions
FigShare
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:figshare.com:article/60317...
Last time updated on 08/04/2018