Abstract
In this chapter, we demonstrate the usability of the KEGG (Kyoto encyclopedia of genes and genomes) databases and tools, especially focusing on the visualization of the omics data. The desktop application KegArray and many Web-based tools are tightly integrated with the KEGG knowledgebase, which helps visualize and interpret large amount of data derived from high-throughput measurement techniques including microarray, metagenome, and metabolome analyses. Recently developed resources for human disease, drug, and plant research are also mentioned.
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Acknowledgments
The computational resources were provided by the Bioinformatics Center, Institute for Chemical Research, Kyoto University. The KEGG project is supported by the Institute for Bioinformatics Research and Development of the Japan Science and Technology Agency, and a grant-in-aid for scientific research on the priority area “Comprehensive Genomics” from the Ministry of Education, Culture, Sports, Science and Technology of Japan.
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Kotera, M., Hirakawa, M., Tokimatsu, T., Goto, S., Kanehisa, M. (2012). The KEGG Databases and Tools Facilitating Omics Analysis: Latest Developments Involving Human Diseases and Pharmaceuticals. In: Wang, J., Tan, A., Tian, T. (eds) Next Generation Microarray Bioinformatics. Methods in Molecular Biology, vol 802. Humana Press. https://doi.org/10.1007/978-1-61779-400-1_2
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DOI: https://doi.org/10.1007/978-1-61779-400-1_2
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