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Enzyme Annotation and Metabolic Reconstruction Using KEGG

2017
KEGG 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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KEGG Primer: An Introduction to Pathway Analysis Using KEGG

NCI Nature Pathway Interaction Database, 2007
Kiyoko F. Aoki-Kinoshita   +1 more
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KEGG and GenomeNet Resources for Predicting Protein Function from Omics Data Including KEGG PLANT Resource

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.
Susumu Goto   +4 more
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KEGG Bioinformatics Resource for Plant Genomics and Metabolomics

2016
In the era of high-throughput biology it is necessary to develop not only elaborate computational methods but also well-curated databases that can be used as reference for data interpretation. KEGG ( http://www.kegg.jp/ ) is such a reference knowledge base with two specific aims.
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KEGG FOR MEDICAL AND PHARMACEUTICAL APPLICATIONS

Proceedings of the 6th Asia-Pacific Bioinformatics Conference, 2007
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KEGG

2015
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KEGG

2008
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