Literature DB >> 11881833

TLFAM--a new set of protein family databases.

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


  2 in total

1.  Specialized hidden markov model databases for microbial genomics.

Authors:  Martin Gollery
Journal:  Comp Funct Genomics       Date:  2003

2.  A kingdom-specific protein domain HMM library for improved annotation of fungal genomes.

Authors:  Intikhab Alam; Simon J Hubbard; Stephen G Oliver; Magnus Rattray
Journal:  BMC Genomics       Date:  2007-04-10       Impact factor: 3.969

  2 in total

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