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

Protein Networks02:26

Protein Networks

4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Archival Research01:40

Archival Research

17.1K
Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
17.1K

You might also read

Related Articles

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

Sort by
Same author

Development and Dissemination of the Japanese Translation of the Mammalian Phenotype Ontology as an Open Resource.

Congenital anomalies·2026
Same author

Provenance-specific responses to climatic mismatch in <i>Betula ermanii</i> Cham. and implications for climate adaptation.

PeerJ·2026
Same author

KEGG Syntax for comparison of organisms, organism groups, and viruses by conserved gene repertoires.

Protein science : a publication of the Protein Society·2026
Same author

AI in practice: a multilingual survey of 2025 BioHackathon participants.

GigaByte (Hong Kong, China)·2026
Same author

Accurate SPARQL generation via in-context learning and schema-based query construction.

Bioinformatics (Oxford, England)·2026
Same author

Shear flow during reciprocal shaking does not disrupt protein films at the solid-liquid interface.

International journal of pharmaceutics·2026
Same journal

Correction to 'scSuperAnnotator: A platform for benchmarking comparison and visualizing automated cellular annotation methods for scRNA-seq data'.

Nucleic acids research·2026
Same journal

Correction to 'Differentiable partition function calculation for RNA'.

Nucleic acids research·2026
Same journal

Deployment of non-canonical splicing in tunicate genomes is mediated by divergent U2AF function and changing m6A modification in U1 and U6 snRNA.

Nucleic acids research·2026
Same journal

Bacillus subtilis DnaB forms multiple protein-protein interactions essential for DNA replication initiation.

Nucleic acids research·2026
Same journal

Multiple forms of protein-protein and DNA binding are exhibited by BrxC from the BREX phage restriction system.

Nucleic acids research·2026
Same journal

Biosynthesis of glycosylated 5-hydroxycytosine in the DNA of diverse viruses.

Nucleic acids research·2026
See all related articles

Related Experiment Video

Updated: Jan 28, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.8K

The KEGG databases at GenomeNet.

Minoru Kanehisa1, Susumu Goto, Shuichi Kawashima

  • 1Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan. kanehisa@kuicr.kyoto-u.ac.jp

Nucleic Acids Research
|December 26, 2001
PubMed
Summary
This summary is machine-generated.

The Kyoto Encyclopedia of Genes and Genomes (KEGG) is a comprehensive database for understanding gene functions. It integrates pathway, gene, and chemical data, aiding biological research and discovery.

More Related Videos

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

33.6K
Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
11:18

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

16.5K

Related Experiment Videos

Last Updated: Jan 28, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.8K
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

33.6K
Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
11:18

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

16.5K

Area of Science:

  • Bioinformatics
  • Genomics
  • Systems Biology

Background:

  • The Kyoto Encyclopedia of Genes and Genomes (KEGG) serves as a primary resource for interpreting genome information.
  • Understanding higher-order functional meanings of cells and organisms requires integrated genomic data.

Purpose of the Study:

  • To present the structure and capabilities of the KEGG database.
  • To highlight KEGG's utility in analyzing molecular interaction networks, gene functions, and chemical processes.

Main Methods:

  • KEGG integrates multiple databases: PATHWAY (molecular networks), GENES (gene/protein info), LIGAND (chemical compounds/reactions).
  • Additional databases include EXPRESSION (microarray data) and BRITE (experimental data).
  • The SSDB database facilitates exploration of protein-coding genes and identification of ortholog groups.

Main Results:

  • KEGG data objects are represented as graphs, enabling computational analysis of biological functions.
  • Graph features like correlated clusters predict gene sets for pathways/complexes.
  • Cliques in SSDB graphs are used for gene annotation.

Conclusions:

  • KEGG provides a freely accessible, daily updated resource for genomic and functional analysis.
  • The database facilitates the prediction of biological pathways and the annotation of genes.
  • KEGG is a vital tool for advancing biological research through integrated data and computational methods.