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A Clustering Analysis Method for Exploring Microorganism Conversion of Biomass Energy

机译:聚类分析方法探索微生物转化生物质能

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摘要

Biomass energy, a form of clean energy, has the advantage of being environment friendly. It can produce combustible gas through biological conversion, which relies on the selection of microorganisms. Archaea can survive under extreme environments and release energy through genetic metabolism. These characteristics of Archaea can make them ideal for biological conversion; however, only some types of Archaea are actually effective in terms of biological conversion. At the same time, one-by-one screening of different Archaea types would be time-consuming and costly. The objective of the present research was to propose a method and system, for rapid screening, and the cluster analysis method is recommended as a selection tool. In light of the gradual sequencing of Archaea DNA, this research used the Codon Usage Number for DNA sequencing to reduce the complexity of the data analysis and increase computing speed. Finally, the cluster results show that the research method possesses the advantages of clear clustering and easy identification, in addition to achieving speed and clarity in computing process. It can thus be used in conjunction with the Bacteria Battery concept to develop new sources of energy.
机译:一种清洁能源,生物质能利用环境友好。通过生物产生可燃气体转换,这依赖的选择微生物。通过遗传环境和释放能量新陈代谢。使他们理想的生物转化;然而,只有某些类型的古生菌有效的生物转化。同时,一个接一个筛选不同的古生菌类型将耗时和昂贵的。本研究的目的是提出一种方法和系统,为快速筛选,和聚类分析方法建议选择工具。古生菌的DNA测序,研究使用密码子使用DNA测序减少数量数据分析的复杂性和增加计算速度。表明,该研究方法具有的明显的集群和容易的优点识别,除了实现速度和清晰的计算过程。与细菌结合使用电池开发新能源的概念。

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