Consists in a data structure of protein families. ProtoNet aims to achieve an automatic hierarchical clustering of the protein sequences space. The database generates automatically, with no supervision a consistent classification tree. Additional tools for analysis and visualization allows to enhance the user’s navigation options through the ProtoNet tree. A “simplified” and an “advanced” mode are both available.
School of Computer Science and Engineering, The Sudarsky Center for Computational Biology, The Hebrew University of Jerusalem, Israel; Deptartment of Biological Chemistry, Institute of Life Sciences, The Sudarsky Center for Computational Biology, The Hebrew University of Jerusalem, Israel
ProtoNet funding source(s)
Supported by Sudarsky Center for Computational Biology (SCCB) fellowship, EU FRVII Prospects consortium and the Israel Science Foundation ISF 592/07.