Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Ontology-based knowledge representation for bioinformatics.

R Stevens1, C A Goble, S Bechhofer

  • 1Department of Computer Science, University of Manchester, UK. robert.stevens@cs.man.ac.uk

Briefings in Bioinformatics
|July 24, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Characterisation of a major QTL for sodium accumulation in tomato grown in high salinity.

Plant, cell & environment·2024
Same author

The diagnostic Accuracy of Visual versus automated dipstick proteinuria testing in Pregnancy: A systematic review and Meta-Analysis.

Pregnancy hypertension·2024
Same author

[An intracranial haemorrhage in a febrile newborn].

Revue medicale de Liege·2022
Same author

Changes to management of hypertension in pregnancy, and attitudes to self-management: An online survey of obstetricians, before and following the first wave of the COVID-19 pandemic.

Pregnancy hypertension·2021
Same author

Calibration of an in-situ fluorescence-based sensor platform for reliable BOD<sub>5</sub> measurement in wastewater.

Water science and technology : a journal of the International Association on Water Pollution Research·2021
Same author

Deep medical image analysis with representation learning and neuromorphic computing.

Interface focus·2020
Same journal

SA-MTP: a structure-aware framework for multifunctional therapeutic peptide annotation.

Briefings in bioinformatics·2026
Same journal

Genome assemblies and annotations are not static and need support for tracking their evolution.

Briefings in bioinformatics·2026
Same journal

A historical journey of metabolite-protein interaction discovery: from data harmonization to AI-driven prediction.

Briefings in bioinformatics·2026
Same journal

Bridging local-global transmembrane protein contexts with contrastive pretraining for alignment-free pathogenicity prediction.

Briefings in bioinformatics·2026
Same journal

Prediction of drug hypersensitivity by comprehensive modeling of HLA-peptidomes.

Briefings in bioinformatics·2026
Same journal

EssTFNet: integration of adaptive time-frequency and DNA language models for interpretable human essential gene prediction.

Briefings in bioinformatics·2026
See all related articles

Bioinformatics uses ontologies to structure biological knowledge, enhancing data analysis. This paper explores ontology applications, content, and development in bioinformatics and molecular biology.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Molecular Biology

Background:

  • Biological research relies on prior knowledge, not just axioms.
  • Bioinformatics databases require added knowledge for data specification.
  • Ontologies offer a method to capture and integrate domain knowledge.

Purpose of the Study:

  • Introduce the application of ontologies in bioinformatics.
  • Describe the types of knowledge encoded in ontologies.
  • Survey existing biological ontologies and their uses.

Main Methods:

  • Conceptualization of domain knowledge into ontologies.
  • Illustrative examples from bioinformatics and molecular biology.
  • Survey of current biological ontologies and their applications.

Related Experiment Videos

Main Results:

  • Ontology content is largely determined by its intended use.
  • Ontologies provide a structured way to represent biological knowledge.
  • Diverse applications of ontologies exist in bioinformatics.

Conclusions:

  • Ontologies are crucial for managing and interpreting complex biological data.
  • Understanding ontology development processes is key for future applications.
  • The paper provides a foundational overview of ontologies in bioinformatics.