RIDOM - Ribosomal Differentiation of Medical Microorganisms
The ribosomal differentiation of microorganisms (RIDOM) web server, first described by Harmsen et al. [Lancet (1999), 353, 291] is an evolving electronic resource designed to provide microorganism 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 (ITS), 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 WWW services. Nearly all sequences are newly determined and the sequence chromatograms are available for intersubjective quality control. A constant increase in the number of curated data is under development and periodic updates are planned. Similarity searches are 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 'Trace Editor'. The RIDOM web site is directly accessible on the WWW at http://www.ridom-rdna.de/. The email address for questions and comments is [email protected].
Description
More detailed information about this field from each metasource.
The ribosomal differentiation of microorganisms (RIDOM) web server, first described by Harmsen et al. [Lancet (1999), 353, 291] is an evolving electronic resource designed to provide microorganism 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 (ITS), 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 WWW services. Nearly all sequences are newly determined and the sequence chromatograms are available for intersubjective quality control. A constant increase in the number of curated data is under development and periodic updates are planned. Similarity searches are 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 'Trace Editor'. The RIDOM web site is directly accessible on the WWW at http://www.ridom-rdna.de/. The email address for questions and comments is [email protected].
metasource: Nucleic Acid Research database catalogueversion: extracted_at: 2022-11-04T11:16:25.468657
Webpage:
http://www.ridom.de/Webpage
More detailed information about this field from each metasource.
http://www.ridom.de/
metasource: Nucleic Acid Research database catalogueversion: extracted_at: 2022-11-04T11:16:25.468657
Tags:
Tags
More detailed information about this field from each metasource.
genomics databases (non-vertebrate)
metasource: Nucleic Acid Research database catalogue
version: extracted_at: 2022-11-04T11:16:25.468657
taxonomy and identification
metasource: Nucleic Acid Research database catalogue
version: extracted_at: 2022-11-04T11:16:25.468657
Tags
More detailed information about this field from each metasource.
genomics databases (non-vertebrate)
metasource: Nucleic Acid Research database catalogueversion: extracted_at: 2022-11-04T11:16:25.468657
taxonomy and identification
metasource: Nucleic Acid Research database catalogueversion: extracted_at: 2022-11-04T11:16:25.468657
genomics taxonomy and identification
Need help integrating and/or managing biomedical data?