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Gene Annotation and Pathway Mapping in KEGG
2007KEGG is a database resource (http://www.genome.jp/kegg/) that provides all knowledge about genomes and their relationships to biological systems such as cells and whole organisms as well as their interactions with the environment. KEGG is categorized in terms of building blocks in the genomic space, known as KEGG GENES, the chemical space, KEGG LIGAND,
Kiyoko F, Aoki-Kinoshita +1 more
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Common Motifs in KEGG Cancer Pathways
2021Genes and gene products interact in an integrated and coordinated way to support functions of a living cell. In this research, we analyze these interactions in 17 different types of cancers, focusing on the interactions presented in pathway maps in Kyoto Encyclopedia of Genes and Genomes repository.
Bini Elsa Paul +3 more
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KEGG Bioinformatics Resource for Plant Genomics Research
2007Kyoto Encyclopedia of Genes and Genomes (KEGG) is a bioinformatics resource for understanding biological function from a genomic perspective. It is a multispecies, integrated resource consisting of genomic, chemical, and network information, with cross-references to numerous outside databases and containing a complete set of building blocks (genes and ...
Ali, Masoudi-Nejad +3 more
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Rebuilding KEGG Maps: Algorithms and Benefits
2014 IEEE Pacific Visualization Symposium, 2014Static drawings of biological pathways are still an important research tool for biologists. Gerhard Michal created his seminal drawings of metabolic networks in the 1960s and thus defined canonical representations of some key pathways. The Kyoto Encyclopedia of Genes and Genomes (KEGG) provides the most popular static drawings of biological networks of
Andreas Gerasch +2 more
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Novartis Foundation symposium, 2003
KEGG (http://www.genome.ad.jp/kegg/) is a suite of databases and associated software for understanding and simulating higher-order functional behaviours of the cell or the organism from its genome information. First, KEGG computerizes data and knowledge on protein interaction networks (PATHWAY database) and chemical reactions (LIGAND database) that are
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KEGG (http://www.genome.ad.jp/kegg/) is a suite of databases and associated software for understanding and simulating higher-order functional behaviours of the cell or the organism from its genome information. First, KEGG computerizes data and knowledge on protein interaction networks (PATHWAY database) and chemical reactions (LIGAND database) that are
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Enzyme Annotation and Metabolic Reconstruction Using KEGG
2017KEGG is an integrated database resource for linking sequences to biological functions from molecular to higher levels. Knowledge on molecular functions is stored in the KO (KEGG Orthology) database, while cellular- and organism-level functions are represented in the PATHWAY and MODULE databases.
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2011
With the rise of experimental technologies for omics research in recent years, considerable quantitative data related to transcription, protein and metabolism are available for predicting protein functions. To predict protein functions from large omics data, reference knowledge databases and bioinformatics tools play considerable roles.
Toshiaki Tokimatsu +3 more
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With the rise of experimental technologies for omics research in recent years, considerable quantitative data related to transcription, protein and metabolism are available for predicting protein functions. To predict protein functions from large omics data, reference knowledge databases and bioinformatics tools play considerable roles.
Toshiaki Tokimatsu +3 more
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Computational Reconstruction of Metabolic Networks from KEGG
2012Reconstruction of metabolic networks from metabolites, enzymes, and reactions is the foundation of the network-based study on metabolism. In this chapter, we describe a practical method for reconstructing metabolic networks from KEGG. This method makes use of organism-specific pathway data in the KEGG/PATHWAY database to reconstruct metabolic networks ...
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KEGG Primer: An Introduction to Pathway Analysis Using KEGG
NCI Nature Pathway Interaction Database, 2007Kiyoko F. Aoki-Kinoshita +1 more
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