Literature DB >> 12520025

The TIGRFAMs database of protein families.

Daniel H Haft1, Jeremy D Selengut, Owen White.   

Abstract

TIGRFAMs is a collection of manually curated protein families consisting of hidden Markov models (HMMs), multiple sequence alignments, commentary, Gene Ontology (GO) assignments, 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 and shorter regions at the levels of superfamilies, subfamilies and equivalogs, where equivalogs are sets of homologous proteins conserved with respect to function since their last common ancestor. The scope of each model is set by raising or lowering cutoff scores and choosing members of the seed alignment to group proteins sharing specific function (equivalog) or more general properties. The overall goal is to provide information with maximum utility for the annotation process. TIGRFAMs is thus complementary to Pfam, whose models typically achieve broad coverage across distant homologs but end at the boundaries of conserved structural domains. The database currently contains over 1600 protein families. TIGRFAMs is available for searching or downloading at www.tigr.org/TIGRFAMs.

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Year:  2003        PMID: 12520025      PMCID: PMC165575          DOI: 10.1093/nar/gkg128

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  8 in total

1.  TIGRFAMs: a protein family resource for the functional identification of proteins.

Authors:  D H Haft; B J Loftus; D L Richardson; F Yang; J A Eisen; I T Paulsen; O White
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

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Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

3.  Identification of genes that are associated with DNA repeats in prokaryotes.

Authors:  Ruud Jansen; Jan D A van Embden; Wim Gaastra; Leo M Schouls
Journal:  Mol Microbiol       Date:  2002-03       Impact factor: 3.501

4.  HMM-based databases in InterPro.

Authors:  Alex Bateman; Daniel H Haft
Journal:  Brief Bioinform       Date:  2002-09       Impact factor: 11.622

Review 5.  Profile hidden Markov models.

Authors:  S R Eddy
Journal:  Bioinformatics       Date:  1998       Impact factor: 6.937

6.  Distinguishing homologous from analogous proteins.

Authors:  W M Fitch
Journal:  Syst Zool       Date:  1970-06

7.  Evidence for lateral gene transfer between Archaea and bacteria from genome sequence of Thermotoga maritima.

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Journal:  Nature       Date:  1999-05-27       Impact factor: 49.962

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Authors:  T Hayashi; K Makino; M Ohnishi; K Kurokawa; K Ishii; K Yokoyama; C G Han; E Ohtsubo; K Nakayama; T Murata; M Tanaka; T Tobe; T Iida; H Takami; T Honda; C Sasakawa; N Ogasawara; T Yasunaga; S Kuhara; T Shiba; M Hattori; H Shinagawa
Journal:  DNA Res       Date:  2001-02-28       Impact factor: 4.458

  8 in total
  380 in total

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Authors:  Shibu Yooseph; Kenneth H Nealson; Douglas B Rusch; John P McCrow; Christopher L Dupont; Maria Kim; Justin Johnson; Robert Montgomery; Steve Ferriera; Karen Beeson; Shannon J Williamson; Andrey Tovchigrechko; Andrew E Allen; Lisa A Zeigler; Granger Sutton; Eric Eisenstadt; Yu-Hui Rogers; Robert Friedman; Marvin Frazier; J Craig Venter
Journal:  Nature       Date:  2010-11-04       Impact factor: 49.962

7.  Life Stage-specific Proteomes of Legionella pneumophila Reveal a Highly Differential Abundance of Virulence-associated Dot/Icm effectors.

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8.  Statistical correction for functional metagenomic profiling of a microbial community with short NGS reads.

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9.  Cultivable, Host-Specific Bacteroidetes Symbionts Exhibit Diverse Polysaccharolytic Strategies.

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