TY - JOUR
AU - Alex Bateman, Daniel H. Haft
AB - 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. Key words protein family hidden Markov model SMART Pfam TIGRFAMs © Henry Stewart Publications « Previous | Next Article » Table of Contents This Article Brief Bioinform (2002) 3 (3): 236-245. doi: 10.1093/bib/3.3.236 This article appears in: InterPro » Abstract Free Full Text (PDF) Free Classifications Paper Services Article metrics Alert me when cited Alert me if corrected Find similar articles Similar articles in Web of Science Similar articles in PubMed Add to my archive Download citation Request Permissions Citing Articles Load citing article information Citing articles via CrossRef Citing articles via Scopus Citing articles via Web of Science Citing articles via Google Scholar Google Scholar Articles by Bateman, A. Articles by Haft, D. H. Search for related content PubMed PubMed citation Articles by Bateman, A. Articles by Haft, D. H. Related Content Load related web page information Share Email this article CiteULike Delicious Facebook Google+ Mendeley Twitter What's this? 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TI - HMM-based databases in InterPro
JF - Briefings in Bioinformatics
DO - 10.1093/bib/3.3.236
DA - 2002-09-01
UR - https://www.deepdyve.com/lp/oxford-university-press/hmm-based-databases-in-interpro-AbCJI57MQW
SP - 236
VL - 3
IS - 3
DP - DeepDyve
ER -