微生微生物组学大数据分析方法、挑战与机遇

发布时间：2018-04-29 04:37

本文选题：微生物组学 + 大数据分析　；参考：《南方医科大学学报》2015年07期

【摘要】：微生物组学是新兴学科,与肠道、代谢、生殖、神经等大量慢性疾病相关。通过测序分析微生物组,主要包括16S rRNA和宏基因组两大技术。16S rRNA数据分析主要包括序列处理、样品多样性分析及统计分析3个步骤。宏基因组数据分析主要包括序列处理、分类、注释及统计分析4个环节。随着测序技术的升级,测序成本将逐步降低,而大数据分析将成为核心内容。数据的标准化和可积累性、通过数据建模和预测疾病的发生发展是未来应用的基础,数据知识产权保护以及数据本身价值的开发与保护价值将日益显现,培养和基于培养的功能验证将是未来的重点之一。人体微生物组学将阐述并调整人与微生物组之间的关系,此领域相关研究有巨大的发展空间。
[Abstract]:Microbiology is a new subject, which is related to many chronic diseases, such as intestinal tract, metabolism, reproduction, nerve and so on. The microorganism group was analyzed by sequencing, including 16s rRNA and macrogenome. 16s rRNA data analysis mainly included three steps: sequence processing, sample diversity analysis and statistical analysis. Macro genome data analysis includes four steps: sequence processing, classification, annotation and statistical analysis. With the upgrading of sequencing technology, the cost of sequencing will be reduced gradually, and big data analysis will become the core content. The standardization and accumulation of data, through data modeling and prediction of disease occurrence and development are the basis of future applications, data intellectual property protection and the development and protection of the value of data itself will become increasingly apparent. Cultivation and culture-based functional verification will be one of the key issues in the future. The relationship between human and microbiota will be elaborated and adjusted. There is great room for development in this field.
【作者单位】：南方医科大学公共卫生与热带医学学院环境卫生系;
【基金】：国家自然基金(31322003,31270152)~~
【分类号】：R37

【共引文献】