Literature DB >> 11752353

RIDOM: Ribosomal Differentiation of Medical Micro-organisms Database.

Dag Harmsen1, Jörg Rothgänger, Matthias Frosch, Jürgen Albert.   

Abstract

The ribosomal differentiation of medical micro-organisms (RIDOM) web server, first described by Harmsen et al. [Harmsden,D., Rothganger,J., Singer,C., Albert,J. and Frosch,M. (1999) Lancet, 353, 291], is an evolving electronic resource designed to provide micro-organism differentiation services for medical identification needs. The diagnostic procedure begins with a specimen partial small subunit ribosomal DNA (16S rDNA) sequence. Resulting from a similarity search, a species or genus name for the specimen in question will be returned. Where the first results are ambiguous or do not define to species level, hints for further molecular, i.e. internal transcribed spacer, and conventional phenotypic differentiation will be offered ('sequential and polyphasic approach'). Additionally, each entry in RIDOM contains detailed medical and taxonomic information linked, context-sensitive, to external World Wide Web services. Nearly all sequences are newly determined and the sequence chromatograms are available for intersubjective quality control. Similarity searches are now also possible by direct submission of trace files (ABI or SCF format). Based on the PHRED/PHRAP software, error probability measures are attached to each predicted nucleotide base and visualised with a new 'Trace Editor'. The RIDOM web site is directly accessible on the World Wide Web at http://www.ridom.de/. The email address for questions and comments is webmaster@ridom.de.

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Year:  2002        PMID: 11752353      PMCID: PMC99060          DOI: 10.1093/nar/30.1.416

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


  9 in total

1.  GenBank.

Authors:  D A Benson; I Karsch-Mizrachi; D J Lipman; J Ostell; B A Rapp; D L Wheeler
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  The RDP-II (Ribosomal Database Project).

Authors:  B L Maidak; J R Cole; T G Lilburn; C T Parker; P R Saxman; R J Farris; G M Garrity; G J Olsen; T M Schmidt; J M Tiedje
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

3.  Heterogeneity among Whipple's-disease-associated bacteria.

Authors:  D Harmsen; J Heesemann; T Brabletz; T Kirchner; H K Müller-Hermelink
Journal:  Lancet       Date:  1994-05-21       Impact factor: 79.321

4.  Intuitive hypertext-based molecular identification of micro-organisms.

Authors:  D Harmsen; J Rothgänger; C Singer; J Albert; M Frosch
Journal:  Lancet       Date:  1999-01-23       Impact factor: 79.321

5.  Base-calling of automated sequencer traces using phred. II. Error probabilities.

Authors:  B Ewing; P Green
Journal:  Genome Res       Date:  1998-03       Impact factor: 9.043

Review 6.  Sequence-based identification of microbial pathogens: a reconsideration of Koch's postulates.

Authors:  D N Fredricks; D A Relman
Journal:  Clin Microbiol Rev       Date:  1996-01       Impact factor: 26.132

7.  Diagnostics of neisseriaceae and moraxellaceae by ribosomal DNA sequencing: ribosomal differentiation of medical microorganisms.

Authors:  D Harmsen; C Singer; J Rothgänger; T Tønjum; G S de Hoog; H Shah; J Albert; M Frosch
Journal:  J Clin Microbiol       Date:  2001-03       Impact factor: 5.948

8.  Improved tools for biological sequence comparison.

Authors:  W R Pearson; D J Lipman
Journal:  Proc Natl Acad Sci U S A       Date:  1988-04       Impact factor: 11.205

9.  CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.

Authors:  J D Thompson; D G Higgins; T J Gibson
Journal:  Nucleic Acids Res       Date:  1994-11-11       Impact factor: 16.971

  9 in total
  41 in total

1.  Conventional methods versus 16S ribosomal DNA sequencing for identification of nontuberculous mycobacteria: cost analysis.

Authors:  Victoria J Cook; Christine Y Turenne; Joyce Wolfe; Ryan Pauls; Amin Kabani
Journal:  J Clin Microbiol       Date:  2003-03       Impact factor: 5.948

2.  Soft tissue infection caused by a novel pigmented, rapidly growing mycobacterium species.

Authors:  Christine Y Turenne; Amar A Suchak; Joyce N Wolfe; Amin Kabani; Lindsay E Nicolle
Journal:  J Clin Microbiol       Date:  2003-06       Impact factor: 5.948

3.  Reassessment of sequence-based targets for identification of bacillus species.

Authors:  K S Blackwood; C Y Turenne; D Harmsen; A M Kabani
Journal:  J Clin Microbiol       Date:  2004-04       Impact factor: 5.948

4.  Characterization of a Moraxella species that causes epistaxis in macaques.

Authors:  Monica E Embers; Lara A Doyle; Chris A Whitehouse; Edward B Selby; Mark Chappell; Mario T Philipp
Journal:  Vet Microbiol       Date:  2010-07-07       Impact factor: 3.293

Review 5.  Call for a quality standard for sequence-based assays in clinical microbiology: necessity for quality assessment of sequences used in microbial identification and typing.

Authors:  Anthony Underwood; Jonathan Green
Journal:  J Clin Microbiol       Date:  2010-11-10       Impact factor: 5.948

Review 6.  Sequence-based identification of new bacteria: a proposition for creation of an orphan bacterium repository.

Authors:  M Drancourt; D Raoult
Journal:  J Clin Microbiol       Date:  2005-09       Impact factor: 5.948

7.  Comparison of BacT/ALERT 3D, Lowenstein-Jensen medium and Middlebrook 7H10/7H11 biplate for recovering mycobacteria from clinical specimens.

Authors:  H Adler; C Straub; R Frei
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2005-07       Impact factor: 3.267

8.  Computational approach involving use of the internal transcribed spacer 1 region for identification of Mycobacterium species.

Authors:  Amr M Mohamed; Dan J Kuyper; Peter C Iwen; Hesham H Ali; Dhundy R Bastola; Steven H Hinrichs
Journal:  J Clin Microbiol       Date:  2005-08       Impact factor: 5.948

9.  Comparison of traditional phenotypic identification methods with partial 5' 16S rRNA gene sequencing for species-level identification of nonfermenting Gram-negative bacilli.

Authors:  Joann L Cloud; Dag Harmsen; Peter C Iwen; James J Dunn; Gerri Hall; Paul Rocco Lasala; Karen Hoggan; Deborah Wilson; Gail L Woods; Alexander Mellmann
Journal:  J Clin Microbiol       Date:  2010-02-17       Impact factor: 5.948

10.  Phylogeny of the genus Nocardia based on reassessed 16S rRNA gene sequences reveals underspeciation and division of strains classified as Nocardia asteroides into three established species and two unnamed taxons.

Authors:  Andreas Roth; Sebastian Andrees; Reiner M Kroppenstedt; Dag Harmsen; Harald Mauch
Journal:  J Clin Microbiol       Date:  2003-02       Impact factor: 5.948

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