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

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

doi:10.1007/4-431-28055-3_14

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 proceeding › Chapter

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 language	English (US)
Title of host publication	Metabolomics
Subtitle of host publication	The Frontier of Systems Biology
Publisher	Springer-Verlag Tokyo
Pages	211-220
Number of pages	10
ISBN (Electronic)	9784431280552
ISBN (Print)	4431251219, 9784431251217
DOIs	https://doi.org/10.1007/4-431-28055-3_14
State	Published - 2005
Externally published	Yes

ASJC Scopus subject areas

General Biochemistry, Genetics and Molecular Biology

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10.1007/4-431-28055-3_14

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AU - Arakawa, Kazuharu

AU - Yamada, Yohei

AU - Shinoda, Kosaku

AU - Nakayama, Yoichi

AU - Tomita, Masaru

N1 - Publisher Copyright: © Springer-Vertag Tokyo 2005. All rights are reserved.

PY - 2005

Y1 - 2005

N2 - 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].

AB - 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].

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

Abstract

ASJC Scopus subject areas

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