Literature DB >> 12717820

Ontologies: Formalising biological knowledge for bioinformatics.

Jonathan Bard1.   

Abstract

An ontology is a domain of knowledge structured through formal rules so that it can be interpreted and used by computers. Ontologies are becoming increasingly important in bioinformatics because they can be linked to the information in databases and their knowledge then used to query the databases. Typical examples in current use are the Gene Ontology, which incorporates much of our knowledge about gene products, and ontologies of developmental anatomy, which, for example, facilitate tissue-based queries to gene expression databases both textually and spatially. This article considers the production, formulation and types of bio-ontologies together with the reasons why they are so useful. Copyright 2003 Wiley Periodicals, Inc.

Mesh:

Year:  2003        PMID: 12717820     DOI: 10.1002/bies.10260

Source DB:  PubMed          Journal:  Bioessays        ISSN: 0265-9247            Impact factor:   4.345


  20 in total

1.  Invertebrate neurophylogeny: suggested terms and definitions for a neuroanatomical glossary.

Authors:  Stefan Richter; Rudi Loesel; Günter Purschke; Andreas Schmidt-Rhaesa; Gerhard Scholtz; Thomas Stach; Lars Vogt; Andreas Wanninger; Georg Brenneis; Carmen Döring; Simone Faller; Martin Fritsch; Peter Grobe; Carsten M Heuer; Sabrina Kaul; Ole S Møller; Carsten Hg Müller; Verena Rieger; Birgen H Rothe; Martin Ej Stegner; Steffen Harzsch
Journal:  Front Zool       Date:  2010-11-09       Impact factor: 3.172

2.  Leveraging biodiversity knowledge for potential phyto-therapeutic applications.

Authors:  Vivekanand Sharma; Indra Neil Sarkar
Journal:  J Am Med Inform Assoc       Date:  2013-03-21       Impact factor: 4.497

3.  Leveraging concept-based approaches to identify potential phyto-therapies.

Authors:  Vivekanand Sharma; Indra Neil Sarkar
Journal:  J Biomed Inform       Date:  2013-05-09       Impact factor: 6.317

4.  Commentary: mouse genetic nomenclature. Standardization of strain, gene, and protein symbols.

Authors:  J P Sundberg; P N Schofield
Journal:  Vet Pathol       Date:  2010-08-04       Impact factor: 2.221

5.  The p53 tumor suppressor network is a key responder to microenvironmental components of chronic inflammatory stress.

Authors:  Frank Staib; Ana I Robles; Lyuba Varticovski; Xin W Wang; Barry R Zeeberg; Michail Sirotin; Victor B Zhurkin; Lorne J Hofseth; S Perwez Hussain; John N Weinstein; Peter R Galle; Curtis C Harris
Journal:  Cancer Res       Date:  2005-11-15       Impact factor: 12.701

6.  The development of non-coding RNA ontology.

Authors:  Jingshan Huang; Karen Eilbeck; Barry Smith; Judith A Blake; Dejing Dou; Weili Huang; Darren A Natale; Alan Ruttenberg; Jun Huan; Michael T Zimmermann; Guoqian Jiang; Yu Lin; Bin Wu; Harrison J Strachan; Nisansa de Silva; Mohan Vamsi Kasukurthi; Vikash Kumar Jha; Yongqun He; Shaojie Zhang; Xiaowei Wang; Zixing Liu; Glen M Borchert; Ming Tan
Journal:  Int J Data Min Bioinform       Date:  2016       Impact factor: 0.667

7.  Pathbase: a database of mutant mouse pathology.

Authors:  Paul N Schofield; Jonathan B L Bard; Catherine Booth; Jacques Boniver; Vincenzo Covelli; Philippe Delvenne; Michele Ellender; Wilhelm Engstrom; Wolfgang Goessner; Michael Gruenberger; Heinz Hoefler; John Hopewell; Mariatheresa Mancuso; Carmel Mothersill; Christopher S Potten; Leticia Quintanilla-Fend; Bjorn Rozell; Hannu Sariola; John P Sundberg; Andrew Ward
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

8.  A prototype symbolic model of canonical functional neuroanatomy of the motor system.

Authors:  Ion-Florin Talos; Daniel L Rubin; Michael Halle; Mark Musen; Ron Kikinis
Journal:  J Biomed Inform       Date:  2007-11-22       Impact factor: 6.317

9.  Towards a bioinformatics of patterning: a computational approach to understanding regulative morphogenesis.

Authors:  Daniel Lobo; Taylor J Malone; Michael Levin
Journal:  Biol Open       Date:  2012-11-26       Impact factor: 2.422

10.  PhenoDigm: analyzing curated annotations to associate animal models with human diseases.

Authors:  Damian Smedley; Anika Oellrich; Sebastian Köhler; Barbara Ruef; Monte Westerfield; Peter Robinson; Suzanna Lewis; Christopher Mungall
Journal:  Database (Oxford)       Date:  2013-05-09       Impact factor: 3.451

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