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Simplifying multidimensional fermentation dataset analysis and visualization: One step closer to capturing high-quality mutant strains

文献类型：期刊论文

作者Zhou, Xiang1; Xu, Dan1; Jiang, Ting-Ting1,2
刊名SCIENTIFIC REPORTS
出版日期2017-01-03
卷号7页码:12
ISSN号2045-2322
DOI10.1038/srep39875
英文摘要In this study, we analyzed mutants of Clostridium acetobutylicum, an organism used in a broad range of industrial processes related to biofuel production, to facilitate future studies of bioreactor and bioprocess design and scale-up, which are very important research projects for industrial microbiology applications. To accomplish this, we generated 329 mutant strains and applied principal component analysis (PCA) to fermentation data gathered from these strains to identify a core set of independent features for comparison. By doing so, we were able to explain the differences in the mutant strains' fermentation expression states and simplify the analysis and visualization of the multidimensional datasets related to the strains. Our study has produced a high-efficiency PCA application based on a data analytics tool that is designed to visualize screening results and to support several hundred sets of data on fermentation interactions to assist researchers in more precisely screening and capturing high-quality mutant strains. More importantly, although this study focused on the use of PCA in microbial fermentation engineering, its results are broadly applicable.
WOS关键词PRINCIPAL-COMPONENT ANALYSIS ; ACETONE-BUTANOL FERMENTATION ; CLOSTRIDIUM-ACETOBUTYLICUM ; ANAEROBIC FERMENTATION ; BIOFUELS ; PATHWAY ; PH ; PERSPECTIVE ; RECOGNITION ; BIOBUTANOL
资助项目National Natural Science Foundation of China[11105193] ; CAS Light of West China talent training Program[77] ; Natural Science Foundation of Gansu provincial Sci. and Tech. Department[1506RJZA293]
WOS研究方向Science & Technology - Other Topics
语种英语
出版者NATURE PUBLISHING GROUP
WOS记录号WOS:000391166900001
资助机构National Natural Science Foundation of China ; CAS Light of West China talent training Program ; Natural Science Foundation of Gansu provincial Sci. and Tech. Department
源URL[http://119.78.100.186/handle/113462/44042]  
专题中国科学院近代物理研究所
通讯作者Zhou, Xiang
作者单位1.Chinese Acad Sci, Inst Modern Phys, 509 Nanchang Rd, Lanzhou 730000, Gansu, Peoples R China
2.Univ Chinese Acad Sci, 19 A Yuquan Rd, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Zhou, Xiang,Xu, Dan,Jiang, Ting-Ting. Simplifying multidimensional fermentation dataset analysis and visualization: One step closer to capturing high-quality mutant strains[J]. SCIENTIFIC REPORTS,2017,7:12.
APA Zhou, Xiang,Xu, Dan,&Jiang, Ting-Ting.(2017).Simplifying multidimensional fermentation dataset analysis and visualization: One step closer to capturing high-quality mutant strains.SCIENTIFIC REPORTS,7,12.
MLA Zhou, Xiang,et al."Simplifying multidimensional fermentation dataset analysis and visualization: One step closer to capturing high-quality mutant strains".SCIENTIFIC REPORTS 7(2017):12.

入库方式： OAI收割

来源：近代物理研究所

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