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  1. TIGRFAMs (View Publication)
    Full Name of the Resource : TIGR protein families adapted for functional annotation
    Resource Category : Databases -> Protein Sequence Databases -> Protein Domain Databases (Protein Classification)

    Brief Description : TIGRFAMs is a collection of manually curated protein families consisting of hidden Markov models (HMMs), multiple sequence alignments, Gene Ontology (GO) assignments, commentary, literature references and pointers to related TIGRFAMs, Pfam and InterPro models. These models are designed to support both automated and manually curated annotation of genomes. TIGRFAMs contains models of full-length proteins as well as domains at the levels of superfamilies, subfamilies and equivalogs (which are sets of homologous proteins that are conserved with respect to function since their last common ancestor). TIGRFAMs models are allowed to be heirarchically nested to yield the maximum amount of information for the annotation process. TIGRFAMs are thus complementary to Pfam models which are designed to represent non-overlapping structural domains. The TIGRFAMs database is integrated with the prokaryotic genome annotation pipeline at TIGR and thus is being constantly updated with respect to new information on protein function, model scope and performance. TIGRFAMs currently contains over 1600 protein families, having doubled in size in two years. TIGRFAMs is available for searching or downloading at
    Subject Area : Functional Annotation

    Institute/s :
    TIGR, Bioinformatics Department, Medical Center Drive, Rockville, USA
    Address of Institute/s :
    TIGR, Bioinformatics Department 9712 Medical Center Drive, Rockville, MD 20850, USA
    Country : United States

    Associated Institutes :

    • TIGR, Bioinformatics Department 9712 Medical Center Drive, Rockville, MD 20850, USA

    Associated Country : USA

    Authors/Contributors : Jeremy D. Selengut
    Contact Email :
    Year : 2007
    Language : English

    Keywords : Archaeal Proteins / classification / genetics / physiology; Bacterial Proteins / classification / genetics / physiology; Databases, Protein; Genome, Bacterial; Genomics; Internet; Phylogeny; Software; User-Computer Interface