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KEGG, The Kyoto Encyclopedia of Genes and Genomes

Tutorial and training materials by OpenHelix

Learn to use KEGG the Kyoto Encyclopedia of Genes and Genomes, an extensive and widely used resource containing information on genes and pathways in a wide range of species. KEGG curates, integrates, and displays information that enables deep understanding of biological systems. Genes, ligands that interact with genes, pathways in which they participate, descriptive terms that clarify the relationships of all of these aspects come together in this fundamental resource. KEGG is a knowledgebase with application to many areas of biological investigation from basic research, to pharmaceutical discovery, and environmental investigations as well. In this introductory tutorial, you will learn about the foundations and features of KEGG, enabling you to efficiently use one of the foundational resources for systems biology.
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You'll learn:

  • how to navigate KEGG and to perform effective searches on topics of interest
  • how to set the displays for efficient access to the data of interest to you
  • how to customize the colors of displays to represent your own data
  • how to investigate reference and disease pathways, genes, ligands, drugs, and more


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Recent BioMed Central research articles citing this resource

Li Meng-Yao et al., High throughput sequencing of two celery varieties small RNAs identifies microRNAs involved in temperature stress response Plant genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-242

Peng Jiajie et al., Towards integrative gene functional similarity measurement Selected articles from the Twelfth Asia Pacific Bioinformatics Conference (APBC 2014): Bioinformatics The Twelfth Asia Pacific Bioinformatics Conference (APBC 2014). BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-S2-S5

Frantzi Maria et al., Clinical proteomic biomarkers: relevant issues on study design technical considerations in biomarker development Regular submissions. Clinical and Translational Medicine (2014) doi:10.1186/2001-1326-3-7

Song Fei et al., Plasma protein profiling of Mild Cognitive Impairment and Alzheimer’s disease using iTRAQ quantitative proteomics. Proteome Science (2014) doi:10.1186/1477-5956-12-5

Teku N Gabriel et al., Identification of core T cell network based on immunome interactome Systems physiology, pharmacology and medicine. BMC Systems Biology (2014) doi:10.1186/1752-0509-8-17

More about the resource:

KEGG is developed and maintained by the Kanehisa Laboratories. From the first reference in 1996, KEGG has grown beyond the initial focus on metabolic pathway data to integrate more data types and important aspects of biology and biomedical research. They continue to add new data types and representations today. Academic users may freely use the KEGG website. To employ KEGG in commercial tools and applications, a license is required. Licenses can be obtained from Pathway Solutions.


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Copyright 2009, OpenHelix, LLC.

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