Hillel Fleischer

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The ProtoNet site provides an automatic hierarchical clustering of the SWISS-PROT protein database. The clustering is based on an all-against-all BLAST similarity search. The similarities' E-score is used to perform a continuous bottom-up clustering process by applying alternative rules for merging clusters. The outcome of this clustering process is a(More)
ProtoNet is an automatic hierarchical classification of the protein sequence space. In 2004, the ProtoNet (version 4.0) presents the analysis of over one million proteins merged from SwissProt and TrEMBL databases. In addition to rich visualization and analysis tools to navigate the clustering hierarchy, we incorporated several improvements that allow a(More)
The ProtoNet site provides an automatic hierarchical clustering of the protein space. The clustering is based on an all-against-all BLAST similarity test. With this similarity measure we proceed to perform a continuous bottom-up clustering process by applying alternative rules for merging clusters. The outcome of this clustering process is a classification(More)
Acknowledgements First and foremost, I would like to thank my supervisor prof. Nir Friedman for bringing me into the world of research and showing me the ways of science. I would also like to thank my dear friends in the lab: and Ilan Wapinski, for helping me in each and every step; without them, this work would have never been written. I am deeply thankful(More)
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