title: [Progress in automatic reconstruction and analysis tools of genome-scale metabolic network].
abstract: High-throughput data supply a basis for the reconstruction of genome-scale metabolic networks, and meanwhile bring challenges to the reconstruction and analysis methods. With the increasing of data quantity, the time-consuming manual reconstruction and analysis are far behind the improvement of models. Therefore, various automatic methods emerge. The automatic reconstruction and analysis have irreplaceable effect in the standardization and programming of reconstruction and analysis methods, as well as largely improving the speed of reconstruction and understanding of the metabolic network. In this review, we introduced the progress of automatic reconstruction and the main analysis tools of genome-scale metabolic network. We further summarized the workflow of automatic reconstruction. The difficulties and perspectives on this research field are also discussed.
authors.affiliation: Department of Biochemical Engineering, School of Chemical Engineering & Technology, Tianjin University, Tianjin 300072, China. haotong@tju.edu.cn
authors.forename: Tong
authors.initials: T
authors.lastname: Hao
authors.forename: Hongwu
authors.initials: H
authors.lastname: Ma
authors.forename: Xueming
authors.initials: X
authors.lastname: Zhao
mesh_terms: D001330:Electronic Data Processing; D016678:Genome; D006801:Humans; D053858:Metabolic Networks and Pathways; D008962:Models, Theoretical; D012984:Software