Mutation3D: Cancer Gene Prediction Through Atomic Clustering of Coding Variants in the Structural Proteome

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URI
http://hdl.handle.net/20.500.14066/2830
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Author(s)
Meyer, Michael J.; Lapcevic, Ryan; Romero, Alfonso; Yoon, Mark; Das, Jishnu; Beltran, Juan Felipe; Mort, Matthew; Stenson, Peter D.; Cooper, David N.; Paccanaro, AlbertoCONACYT Authority; Yu, Haiyuan
Date of publishing
2016-02-03
Type of publication
research article
Subject(s)
Abstract
The mutation3D Web interface allows users to analyze their own mutation data in a variety of popular formats and provides seamless access to explore mutation clusters derived from over 975,000 somatic mutations reported by 6,811 cancer sequencing studies. The mutation3D Web interface is freely available with all major browsers supported.
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