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Genome-scale Gene Expression Analysis and Pathway Reconstruction in KEGG.

Nakao, Bono, Kawashima

    Genome Informatics. Workshop on Genome Informatics
    |November 10, 2000
    PubMed
    Summary
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    DNA chips and microarrays enable genome-wide gene expression monitoring. New database systems, like KEGG, integrate this data with genomic and pathway information for pathway reconstruction.

    Area of Science:

    • Bioinformatics
    • Genomics
    • Molecular Biology

    Background:

    • Massively parallel hybridization technologies (DNA chips, microarrays) allow genome-wide gene expression monitoring.
    • The large datasets generated require integrated database management systems.

    Purpose of the Study:

    • To extend existing systems (KEGG, DBGET/LinkDB) for analyzing gene expression data.
    • To integrate expression data with pathway and genomic information.

    Main Methods:

    • Extension of KEGG (Kyoto Encyclopedia of Genes and Genomes) and DBGET/LinkDB systems.
    • Integration of gene expression data with pathway and genomic databases.

    Main Results:

    • Developed a system for analyzing gene expression data alongside pathway and genomic information.

    Related Experiment Videos

  • Enabled the use of expression data for pathway reconstruction from complete genome sequences.

    • Conclusions:

    • The extended KEGG and DBGET/LinkDB systems facilitate comprehensive analysis of gene expression data.
    • This integration aids in reconstructing biological pathways using genomic and expression data.