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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

Yi Lina et al., Gene expression profiling of CD4 T cells in treatment-naive HIV, HCV mono- or co-infected Chinese Retroviruses. Virology Journal (2014) doi:10.1186/1743-422X-11-27

Chen Linan et al., Global regulation of mRNA translation and stability in the early Drosophila embryo by the Smaug RNA-binding protein. Genome Biology (2014) doi:10.1186/gb-2014-15-1-r4

Huang Tiao-Lai et al., 2D-DIGE proteome analysis on the platelet proteins of patients with major depression. Proteome Science (2014) doi:10.1186/1477-5956-12-1

Chua YL Kyra et al., Hyperexpression of α-hemolysin explains enhanced virulence of sequence type 93 community-associated methicillin-resistant Staphylococcus aureus Microbe-host interactions and microbial pathogenicity. BMC Microbiology (2014) doi:10.1186/1471-2180-14-31

Sait Michelle et al., Genome sequencing and comparative analysis of three Chlamydia pecorum strains associated with different pathogenic outcomes Prokaryote microbial genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-23

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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