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Exploring biomass energy of microorganisms using data mining methods

机译:利用数据挖掘方法探索微生物的生物质能

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摘要

Energy crisis is a global issue and biomass energy is treated as a potential alternative energy. Biomass energy is a renewable energy that is converted by the use of abundant biomass. Archaea, which are suitable microorganisms for biomass converting into biomass energy, can survive under ammonia oxidation environment and release energy through the genetic metabolism. In this study, we analyzed and classified 27 kinds of Archaea, by using Fuzzy C-Means algorithm. Based on the concept of genetic metabolism, "codon usage bias" of three amino acids, Leucine, Serine and Arginine in Archaea, were chosen as the source for cluster analysis. Results showed a strong relationship between the finding clusters and traditional biological classifications, especially for the "Codon Usage Number" of Leucine. It is concluded that No. 15, No. 21 and No. 23, which have significant correlation with biological classification due to the same Genus species, would be found out as the potential Archaea by Fuzzy C-Means algorithm for biomass conversion. In summary, this study provides a method of clustering analysis to explore the microorganism for biomass.
机译:能源危机是一个全球性问题,生物质能被视为潜在的替代能源。生物质能是一种可再生能源,可通过利用丰富的生物质来转化。古细菌是适于将生物质转化为生物质能量的微生物,可以在氨氧化环境下生存并通过遗传代谢释放能量。在这项研究中,我们使用模糊C均值算法分析和分类了27种古细菌。根据遗传代谢的概念,选择古细菌中亮氨酸,丝氨酸和精氨酸这三种氨基酸的“密码子使用偏倚”作为聚类分析的来源。结果表明,发现簇与传统生物学分类之间有很强的关系,尤其是亮氨酸的“密码子使用数量”。结论是,通过模糊C-均值算法可以发现由于属属相同而与生物学分类有显着相关性的第15,第21和第23号作为生物量转化的潜在古细菌。总而言之,这项研究提供了一种聚类分析的方法来探索微生物的生物量。

著录项

  • 来源
    《Energy Conversion & Management》 |2011年第2期|p.1272-1279|共8页
  • 作者

    S.F. Cheng; C.I. Hung; I.C. Yang;

  • 作者单位

    Department of Mechanical Engineering, National Cheng Kung University, No. 1, University Rd., Tainan 70101, Taiwan;

    Department of Mechanical Engineering, National Cheng Kung University, No. 1, University Rd., Tainan 70101, Taiwan;

    Systematic and Theoretical Science Research Croup, National Taitung University, 684 Sec. 1, Chunghua Rd., Taitung 95002, Taiwan,Department of Applied Science, National Taitung University, 684 Sec. 1, Chunghua Rd., Taitung 95002, Taiwan;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    biomass energy; archaea; fuzzy c-means;

    机译:生物质能古细菌模糊c均值;

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