Protonet 4.0: A Hierarchical Classification of One Million Protein Sequences
Publication Type
Journal Article
Publication Date
2005
Abstract
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 simplified view of the scaffold of the proteins. An unsupervised, biologically valid method that was developed resulted in a condensation of the ProtoNet hierarchy to only 12% of the clusters. A large portion of these clusters was automatically assigned high confidence biological names according to their correspondence with functional annotations. ProtoNet is available at: http://www.protonet.cs.huji.ac.il.
Discipline
Bioinformatics | Computer Sciences
Publication
Nucleic Acids Research
Volume
33
Issue
Suppl. 1
First Page
D216
Last Page
D218
ISSN
0305-1048
Identifier
10.1093/nar/gki007
Publisher
Oxford
Citation
KAPLAN, Noam; SASSON, Ori; Inbar, Uri; Friedlich, Moriah; Fromer, Menachem; Fleischer, Hillel; Portugaly, Elon; Linial, Nathan; and Linial, Michal.
Protonet 4.0: A Hierarchical Classification of One Million Protein Sequences. (2005). Nucleic Acids Research. 33, (Suppl. 1), D216-D218.
Available at: https://ink.library.smu.edu.sg/sis_research/89
Additional URL
http://dx.doi.org/10.1093/nar/gki007