The KEGG resource for deciphering the genome

DMCA

The KEGG resource for deciphering the genome (2004)

Cached

Download Links

Other Repositories/Bibliography

DBLP

by Minoru Kanehisa , Susumu Goto , Shuichi Kawashima , Yasushi Okuno , Masahiro Hattori

Venue:	Nucleic Acids Res
Citations:	513 - 24 self

BibTeX

@ARTICLE{Kanehisa04thekegg,
    author = {Minoru Kanehisa and Susumu Goto and Shuichi Kawashima and Yasushi Okuno and Masahiro Hattori},
    title = {The KEGG resource for deciphering the genome},
    journal = {Nucleic Acids Res},
    year = {2004},
    volume = {32},
    pages = {277--280}
}

OpenURL

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

Keyphrases

kegg resource protein interaction network cellular process various cellular process organism behavior post-genomic era network prediction grand challenge higher-level complexity genomic information knowledge-based approach computational prediction complete computer representation complete set

DMCA