KEGG stands for Kyoto Encyclopedia of Genes and Genomes. It is a comprehensive, integrated biological database and knowledge resource that provides valuable information and insights into various biological processes and pathways. KEGG is widely used in the field of bioinformatics and is considered an essential tool for researchers and scientists studying genomics, molecular biology, and other related disciplines.
As a dictionary definition, KEGG is an extensive and well-organized database that includes extensive data on numerous aspects of biology, such as genes, proteins, biochemical pathways, diseases, drugs, and organisms. It offers a systematic and detailed representation of metabolic pathways and regulatory networks, allowing researchers to understand complex biological systems.
KEGG contains various types of data, including gene and protein sequences, biological pathways, chemical compounds and reactions, and gene-disease relationships. It offers numerous online tools and resources for data visualization and analysis, supporting the interpretation of biological information.
Moreover, KEGG provides links to other biological databases and resources, facilitating cross-referencing and integration of data. It serves as a valuable resource for researchers looking for information on specific genes or pathways, aiding in the discovery of new relationships and potential therapeutic targets.
In summary, KEGG is a highly valuable and widely used database that incorporates a wide range of biological information, aiding researchers in understanding complex biological processes, pathways, and systems.
