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 Concept Videos

Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
Anatomical Terminology01:20

Anatomical Terminology

Knowledge of anatomy is essential to understand human biology and medicine. Anatomists and health care professionals use standard terminology to describe the human body with more precision and no ambiguity. Anatomical terms have mostly Greek and Latin-derived roots. Because these languages are rarely used in conversation, the meaning of words remains the same. Each term is made up of a root in between the prefixes and suffixes. The root of a term often refers to an organ, tissue, or condition,...
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

You might also read

Related Articles

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

Sort by
Same author

A scoping review of the association between the built environment and overdose mortality.

Drug and alcohol dependence·2025
Same author

Docklessness, aesthetic governance, and the urban 'micromobility mess'.

Urban studies (Edinburgh, Scotland)·2025
Same author

MaskMyPy: python tools for performing and analyzing geographic masks.

International journal of health geographics·2025
Same author

Runnability: A Scoping Review.

International journal of environmental research and public health·2025
Same author

Environmental Preferences and Concerns of Recreational Trail Runners.

International journal of environmental research and public health·2024
Same author

Physical environment features that predict outdoor active play can be measured using Google Street View images.

International journal of health geographics·2023
Same journal

Hidden in the Pangenome? Machine Learning-Driven Discovery of Antimicrobial Potential in <i>Corynebacterium glutamicum</i>.

Bioinformatics and biology insights·2026
Same journal

<i>In silico</i> Design and Analysis of Engineered Proteins Containing Multi-Epitope and Immunodominant Domains Derived From <i>Rickettsia prowazekii A</i>ntigens.

Bioinformatics and biology insights·2026
Same journal

Chemoinformatic Approaches to Identify Bioactive Inhibitors Against Type I Dehydroquinase (DHQ1) Enzyme of Typhoidal <i>Salmonella</i>.

Bioinformatics and biology insights·2026
Same journal

Web-Based Graphical User Interface Design Integrating MATLAB Server for the Mathematical Model of Human Cardiovascular-Respiratory System.

Bioinformatics and biology insights·2026
Same journal

Listeria Genome Identification Using DNABERT Embedding With LightGBM and SHAP-Based Explainable Classification.

Bioinformatics and biology insights·2026
Same journal

A Novel Bioinformatics Pipeline and a Machine-Learning Approach for Antimicrobial Resistance Phenotypic Prediction.

Bioinformatics and biology insights·2026
See all related articles

Related Experiment Video

Updated: Jun 19, 2026

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
09:08

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Published on: January 12, 2020

Ontologies for bioinformatics.

Nadine Schuurman1, Agnieszka Leszczynski

  • 1Department of Geography, Simon Fraser University RCB 7123, 8888 University Drive, Burnaby, British Columbia, Canada. nadine@sfu.ca

Bioinformatics and Biology Insights
|October 9, 2009
PubMed
Summary
This summary is machine-generated.

Biological databases have rapidly grown, presenting challenges due to diverse formats and semantics. Ontologies offer a solution for data integration and interoperability, enabling scientists to share information effectively.

Keywords:
Gene Ontologybioinformaticsbiological databasesontologiessemantics

More Related Videos

Development of Compendium for Esophageal Squamous Cell Carcinoma
03:36

Development of Compendium for Esophageal Squamous Cell Carcinoma

Published on: April 12, 2024

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

Related Experiment Videos

Last Updated: Jun 19, 2026

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
09:08

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Published on: January 12, 2020

Development of Compendium for Esophageal Squamous Cell Carcinoma
03:36

Development of Compendium for Esophageal Squamous Cell Carcinoma

Published on: April 12, 2024

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Data Science

Background:

  • The last two decades have seen a significant increase in biological data volume and complexity.
  • Biological databases exhibit heterogeneous infrastructures, diverse formats, and varying semantic meanings and organizational structures.
  • Semantic and organizational discrepancies hinder effective data integration and sharing among scientists.

Purpose of the Study:

  • To describe the rapid accumulation of biological data and its diverse organizational structures.
  • To explain the role of ontologies in resolving semantic and organizational differences between biological databases.
  • To highlight how ontologies enhance data integration and promote scientific interoperability.

Main Methods:

  • Review of biological data accumulation and database structures.
  • Explanation of ontologies as a computational concept for data organization and meaning.
  • Discussion of interoperability as a means for global scientific communication.

Main Results:

  • Biological data has grown exponentially, leading to challenges in data management and integration.
  • Ontologies provide a standardized framework for defining data semantics and organization.
  • The application of ontologies facilitates the integration of disparate biological databases.

Conclusions:

  • Ontologies are crucial for overcoming semantic and organizational barriers in biological data.
  • Implementing ontologies enhances database interoperability, enabling seamless data sharing.
  • Ontologies are essential tools for advancing biological research through integrated data access.