| Literature DB >> 11881833 |
Martin Gollery1, David Rector, Jim Lindelien.
Abstract
PFAM is a popular and effective database of Hidden Markov Models (HMMs), which represent a wide range of protein families. Here, we introduce TLFAM as a more specific set of HMM databases. Analyses of bacterial genomes using TLFAM-Pro show better scores, E-values, and alignment lengths than those using the more generalized PFAM. Since PFAM will still find hits that TLFAM-Pro will not, we recommend that they be used jointly, rather than exclusively. This method provides the best features of both databases. This method has been extended to a number of other organism types, such as archaea, and the databases are freely available to interested researchers.Mesh:
Year: 2002 PMID: 11881833 DOI: 10.1089/15362310252780825
Source DB: PubMed Journal: OMICS ISSN: 1536-2310