The KEGG resource for deciphering the genome

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The KEGG resource for deciphering the genome (2004)

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

Venue:	Nucleic Acids Res
Citations:	501 - 24 self

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@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}
}

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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

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