title: HMM-based databases in InterPro.
abstract: Protein family databases are an important resource for protein annotation and understanding protein evolution and function. In recent years hidden Markov models (HMMs) have become one of the key technologies used for detection of members of these families. This paper reviews the Pfam, TIGRFAMs and SMART databases that use the profile-HMMs provided by the HMMER package.
authors.affiliation: Pfam Group, The Wellcome Trust Sanger Institute, Hinxton, UK.
authors.forename: Alex
authors.initials: A
authors.lastname: Bateman
authors.forename: Daniel H
authors.initials: DH
authors.lastname: Haft
mesh_terms: D019295:Computational Biology; D030562:Databases, Protein; D011506:Proteins / Q000737:chemistry / Q000145:classification; D016415:Sequence Alignment; D020539:Sequence Analysis, Protein; D012984:Software
chemical_list: D011506:Proteins