Literature DB >> 9697223

Ontologies for molecular biology.

S Schulze-Kremer1.   

Abstract

Molecular biology has a communication problem. There are many databases using their own labels and categories for storing data objects and some using identical labels and categories but with a different meaning. A prominent example is the concept "gene" which is used with different semantics by major international genomic databases. Ontologies are one means to provide a semantic repository to systematically order relevant concepts in molecular biology and to bridge the different notions in various databases by explicitly specifying the meaning of and relation between the fundamental concepts in an application domain. Here, the upper level and a database branch of a prospective ontology for molecular biology (OMB) is presented and compared to other ontologies with respect to suitability for molecular biology (http:/(/)igd.rz-berlin.mpg.de/approximately www/oe/mbo.html).

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Year:  1998        PMID: 9697223

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN: 2335-6928


  7 in total

Review 1.  Surviving in a sea of data: a survey of plant genome data resources and issues in building data management systems.

Authors:  Leonore Reiser; Lukas A Mueller; Seung Yon Rhee
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

2.  A knowledge framework for computational molecular-disease relationships in cancer.

Authors:  Michael N Cantor; Yves A Lussier
Journal:  Proc AMIA Symp       Date:  2002

3.  Evaluation of the UMLS as a terminology and knowledge resource for biomedical informatics.

Authors:  Olivier Bodenreider; Joyce A Mitchell; Alexa T McCray
Journal:  Proc AMIA Symp       Date:  2002

4.  The Gene Ontology (GO) database and informatics resource.

Authors:  M A Harris; J Clark; A Ireland; J Lomax; M Ashburner; R Foulger; K Eilbeck; S Lewis; B Marshall; C Mungall; J Richter; G M Rubin; J A Blake; C Bult; M Dolan; H Drabkin; J T Eppig; D P Hill; L Ni; M Ringwald; R Balakrishnan; J M Cherry; K R Christie; M C Costanzo; S S Dwight; S Engel; D G Fisk; J E Hirschman; E L Hong; R S Nash; A Sethuraman; C L Theesfeld; D Botstein; K Dolinski; B Feierbach; T Berardini; S Mundodi; S Y Rhee; R Apweiler; D Barrell; E Camon; E Dimmer; V Lee; R Chisholm; P Gaudet; W Kibbe; R Kishore; E M Schwarz; P Sternberg; M Gwinn; L Hannick; J Wortman; M Berriman; V Wood; N de la Cruz; P Tonellato; P Jaiswal; T Seigfried; R White
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

5.  Bio-Ontology and text: bridging the modeling gap.

Authors:  Carol Friedman; Tara Borlawsky; Lyudmila Shagina; H Rosie Xing; Yves A Lussier
Journal:  Bioinformatics       Date:  2006-07-26       Impact factor: 6.937

6.  An upper-level ontology for the biomedical domain.

Authors:  Alexa T McCray
Journal:  Comp Funct Genomics       Date:  2003

7.  Bringing ontology to the gene ontology.

Authors:  Jennifer Williams; William Andersen
Journal:  Comp Funct Genomics       Date:  2003
  7 in total

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