The KEGG resource for deciphering the genome
Kyoto University · Kyoto University Institute for Chemical Research
Abstract
A grand challenge in the post-genomic era is a complete computer representation of the cell and the organism, which will enable computational prediction of higher-level complexity of cellular processes and organism behavior from genomic information. Toward this end we have been developing a knowledge-based approach for network prediction, which is to predict, given a complete set of genes in the genome, the protein interaction networks that are responsible for various cellular processes. KEGG at http://www.genome.ad.jp/kegg/ is the reference knowledge base that integrates current knowledge on molecular interaction networks such as pathways and complexes (PATHWAY database), information about genes and proteins…
Citation impact
- FWCI
- 48.33
- Percentile
- 100%
- References
- 7
Authors
1Topics & keywords
- KEGG
- Genome
- Biology
- Organism
- Computational biology
- Gene
- Database
- Computer science