【摘 要】
：
Background: Over 100 genome-scale metabolic networks(GSMNs) have been published in recent years.Even for the same organism various metabolic models have been reconstructed by different research groups
【机 构】
：
中国科学院天津工业生物技术研究所,天津;天津大学 中国科学院天津工业生物技术研究所,天津
【出 处】
：
第六届全国生物信息学与系统生物学学术大会暨国际生物信息学前沿研讨会
论文部分内容阅读
Background: Over 100 genome-scale metabolic networks(GSMNs) have been published in recent years.Even for the same organism various metabolic models have been reconstructed by different research groups.Very often the analysis results (e.g., optimal production rate of certain metabolites) from these models are very different even they are for the same organism.Therefore, it is necessary to identify the discrepancies among models and subsequently build a consensus metabolic model.
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