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HuMiChip2 for strain level identification and functional profiling of human microbiomes

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成果类型:
期刊论文
作者:
Tu, Qichao;Li, Jiabao;Shi, Zhou;Chen, Yanfei;Lin, Lu;...
通讯作者:
Zhou, Jizhong;He, Zhili
作者机构:
[Lin, Lu; Tu, Qichao] Zhejiang Univ, Dept Marine Sci, Ocean Coll, Hangzhou, Zhejiang, Peoples R China.
[Yan, Jianbo; Tu, Qichao; Wang, Hongling] Zhoushan Municipal Ctr Dis Control & Prevent, Zhoushan, Zhejiang, Peoples R China.
[Shi, Zhou; Tu, Qichao; He, Zhili; Zhou, Jizhong; Zhou, JZ] Univ Oklahoma, Inst Environm Genom, Norman, OK 73019 USA.
[Li, Jiabao; Li, Xiangzhen] Chinese Acad Sci, Chengdu Inst Biol, Chengdu, Sichuan, Peoples R China.
[Chen, Yanfei; Li, Lanjuan] Zhejiang Univ, Affiliated Hosp 1, Hangzhou, Zhejiang, Peoples R China.
通讯机构:
[Zhou, JZ; He, ZL] U
Univ Oklahoma, Inst Environm Genom, Norman, OK 73019 USA.
语种:
英文
关键词:
HuMiChip2;Microbial ecological microarray;Strain-level identification;Functional profiling;Human microbiome
期刊:
Applied Microbiology and Biotechnology
ISSN:
0175-7598
年:
2017
卷:
101
期:
1
页码:
423-435
基金类别:
This work was supported by the Oklahoma Center for the Advancement of Science and Technology (OCAST) through the Oklahoma Applied Research Support (OARS) Project AR11-035, the Fundamental Research Funds for the Central Universities of China (Zhejiang University, 2016QNA4039, 2015QNA4044), and the Open Funding of Zhejiang Provincial Key Laboratory of Health Risk Factors for Seafood (201605), Zhoushan Center for Disease Control and Prevention.
机构署名:
本校为其他机构
院系归属:
农学院
摘要:
With the massive data generated by the Human Microbiome Project, how to transform such data into useful information and knowledge remains challenging. Here, with currently available sequencing information (reference genomes and metagenomes), we have developed a comprehensive microarray, HuMiChip2, for strain-level identification and functional characterization of human microbiomes. HuMiChip2 was composed of 29,467 strain-specific probes targeting 2063 microbial strains/species and 133,924 sequence- and group-specific probes targeting 157 key functional gene families involved in various metabol...

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