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  1. CluSTr (View Publication)
    Full Name of the Resource : Clusters of UniProt Knowledgebase and IPI proteins
    Resource Category : Databases -> Protein Sequence Databases -> Protein Domain Databases (Protein Classification)

    Brief Description : The CluSTr (Clusters of Swiss-Prot and TrEMBL proteins) database offers an automatic classification of UniProt Knowledgebase (http://www.ebi.ac.uk/uniprot/) proteins into groups of related proteins. The clustering is based on analysis of all pairwise comparisons between protein sequences. Analysis has been carried out for different levels of protein similarity, yielding a hierarchical organisation of clusters. The database provides links to InterPro (http://www.ebi.ac.uk/interpro/index.html), which integrates information on protein families, domains and functional sites from PROSITE (http://www.expasy.ch/prosite/), PRINTS (http://www.bioinf.man.ac.uk/dbbrowser/PRINTS/), Pfam (http://www.sanger.ac.uk/Software/Pfam/index.shtml), ProDom (http://www.toulouse.inra.fr/prodom.html), SMART (http://smart.embl-heidelberg.de), TIGRFAMs (http://www.tigr.org/TIGRFAMs/index.shtml), PDB (http://www.rcsb.org/pdb/), SUPERFAMILY (http://supfam.mrc-lmb.cam.ac.uk/SUPERFAMILY/) and PIR Superfamily (http://pir.georgetown.edu/iproclass/). CluSTr is available for querying and browsing at http://www.ebi.ac.uk/clustr
    Subject Area : UniProt


    Institute/s :
    EMBL Outstation - The European Bioinformatics Institute, Wellcome Trust Genome Campus, United Kingdom
    Address of Institute/s :
    EMBL Outstation - The European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
    Country : United Kingdom

    Associated Institutes :

    • EMBL Outstation—European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK

    Associated Country : United Kingdom


    Authors/Contributors : Apweiler, R
    Contact Email : rpetry@ebi.ac.uk
    Year : 2003
    Language : English

    Keywords : Algorithms; Amino Acid Sequence; Cluster Analysis; Computational Biology / instrumentation / methods; Databases, Factual; Databases, Genetic; Databases, Protein; Humans; Internet; Monte Carlo Method; Proteomics / methods; Sequence Analysis, Protein