Methods, challenges and opportunities for big data analyses of microbiome
10.3969/j.issn.1673-4254.2015.07.01
- VernacularTitle:微生物组学大数据分析方法、挑战与机遇
- Author:
Huafang SHENG
1
;
Hongwei ZHOU
Author Information
1. 南方医科大学公共卫生与热带医学学院环境卫生系
- Keywords:
microbiome;
big data analyses;
metagenome;
16S
- From:
Journal of Southern Medical University
2015;(7):931-934
- CountryChina
- Language:Chinese
-
Abstract:
Microbiome is a novel research field related with a variety of chronic inflamatory diseases. Technically, there are two major approaches to analysis of microbiome:metataxonome by sequencing the 16S rRNA variable tags, and metagenome by shot-gun sequencing of the total microbial (mainly bacterial) genome mixture. The 16S rRNA sequencing analyses pipeline includes sequence quality control, diversity analyses, taxonomy and statistics; metagenome analyses further includes gene annotation and functional analyses. With the development of the sequencing techniques, the cost of sequencing will decrease, and big data analyses will become the central task. Data standardization, accumulation, modeling and disease prediction are crucial for future exploit of these data. Meanwhile, the information property in these data, and the functional verification with culture-dependent and culture-independent experiments remain the focus in future research. Studies of human microbiome will bring a better understanding of the relations between the human body and the microbiome, especially in the context of disease diagnosis and therapy, which promise rich research opportunities.
