Literature DB >> 19953641

RAMEDIS: a comprehensive information system for variations and corresponding phenotypes of rare metabolic diseases.

Thoralf Töpel1, Dagmar Scheible, Friedrich Trefz, Ralf Hofestädt.   

Abstract

RAMEDIS is a manually curated resource of human variations and corresponding phenotypes for rare metabolic diseases. The system is based on separate case reports that comprehensively describe various aspects of anonymous case study, e.g. molecular genetics, symptoms, lab findings, treatments, etc. Scientists are able to make use of the database by a simple and intuitive web-based user interface with a common web browser. A registration or login is not necessary for a full reading access to the system content. Furthermore, a mutation analysis table summarizes the submitted variations per diagnosis and enables direct access to detailed information of corresponding case reports. Interested scientists may open an account to submit their case reports in order to share valuable genotype-phenotype information efficiently with the scientific community. Currently, 794 case reports have been submitted, describing 92 different genetic metabolic diseases. To enhance the comprehensive coverage of available knowledge in the field of rare metabolic diseases, all case reports are linked to integrated information from public molecular biology databases like KEGG, OMIM and ENZYME. This information upgrades the case reports by related data of the corresponding diseases as well as involved enzymes, genes and metabolic pathways. Academic users may freely use the RAMEDIS system at http://www.ramedis.de.

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Year:  2010        PMID: 19953641     DOI: 10.1002/humu.21169

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  3 in total

1.  metabolicMine: an integrated genomics, genetics and proteomics data warehouse for common metabolic disease research.

Authors:  Mike Lyne; Richard N Smith; Rachel Lyne; Jelena Aleksic; Fengyuan Hu; Alex Kalderimis; Radek Stepan; Gos Micklem
Journal:  Database (Oxford)       Date:  2013-08-09       Impact factor: 3.451

2.  Computer-assisted initial diagnosis of rare diseases.

Authors:  Rui Alves; Marc Piñol; Jordi Vilaplana; Ivan Teixidó; Joaquim Cruz; Jorge Comas; Ester Vilaprinyo; Albert Sorribas; Francesc Solsona
Journal:  PeerJ       Date:  2016-07-21       Impact factor: 2.984

3.  Knowledge base and mini-expert platform for the diagnosis of inborn errors of metabolism.

Authors:  Jessica J Y Lee; Wyeth W Wasserman; Georg F Hoffmann; Clara D M van Karnebeek; Nenad Blau
Journal:  Genet Med       Date:  2017-07-20       Impact factor: 8.822

  3 in total

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