The genome-based E-cell modeling (GEM) system

Kazuharu Arakawa, Yohei Yamada, Kosaku Shinoda, Yoichi Nakayama, Masaru Tomita

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Rapid advances in the sequencing technologies have brought forth a vast amount of genome data. The GenBank database at the National Center for Biotechnology Liformation now distributes more than 100 complete genomes [1]. This fast accumulation of data is also present in all fields of molecular biology, including transcriptome, proteome, and metabolome. With the existence of the large amount of data, understanding of the cell requires a "systems biology" approach in order to view the dynamic behavior as a complex system [2]. Several successful attempts for this purpose through cell simulation have already been reported [3-5].

Original languageEnglish (US)
Title of host publicationMetabolomics
Subtitle of host publicationThe Frontier of Systems Biology
PublisherSpringer-Verlag Tokyo
Pages211-220
Number of pages10
ISBN (Electronic)9784431280552
ISBN (Print)4431251219, 9784431251217
DOIs
StatePublished - Jan 1 2005
Externally publishedYes

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

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  • Cite this

    Arakawa, K., Yamada, Y., Shinoda, K., Nakayama, Y., & Tomita, M. (2005). The genome-based E-cell modeling (GEM) system. In Metabolomics: The Frontier of Systems Biology (pp. 211-220). Springer-Verlag Tokyo. https://doi.org/10.1007/4-431-28055-3_14