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Research Article | Novel Systems Biology Techniques

Multiple-Disease Detection and Classification across Cohorts via Microbiome Search

Xiaoquan Su, Gongchao Jing, Zheng Sun, Lu Liu, Zhenjiang Xu, Daniel McDonald, Zengbin Wang, Honglei Wang, Antonio Gonzalez, Yufeng Zhang, Shi Huang, Gavin Huttley, Rob Knight, Jian Xu
Vanni Bucci, Editor
Xiaoquan Su
aSingle-Cell Center, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
eUniversity of Chinese Academy of Sciences, Beijing, China
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Gongchao Jing
aSingle-Cell Center, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
eUniversity of Chinese Academy of Sciences, Beijing, China
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Zheng Sun
aSingle-Cell Center, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
eUniversity of Chinese Academy of Sciences, Beijing, China
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Lu Liu
aSingle-Cell Center, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
eUniversity of Chinese Academy of Sciences, Beijing, China
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Zhenjiang Xu
bDepartment of Pediatrics and Center for Microbiome Innovation, University of California at San Diego, San Diego, California, USA
cDepartments of Computer Science and Engineering and Bioengineering, University of California at San Diego, San Diego, USA
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Daniel McDonald
bDepartment of Pediatrics and Center for Microbiome Innovation, University of California at San Diego, San Diego, California, USA
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Zengbin Wang
aSingle-Cell Center, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
eUniversity of Chinese Academy of Sciences, Beijing, China
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Honglei Wang
aSingle-Cell Center, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
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Antonio Gonzalez
bDepartment of Pediatrics and Center for Microbiome Innovation, University of California at San Diego, San Diego, California, USA
cDepartments of Computer Science and Engineering and Bioengineering, University of California at San Diego, San Diego, USA
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Yufeng Zhang
aSingle-Cell Center, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
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Shi Huang
aSingle-Cell Center, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
eUniversity of Chinese Academy of Sciences, Beijing, China
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Gavin Huttley
dResearch School of Biology, ANU College of Science, The Australian National University, Canberra, Australia
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Rob Knight
bDepartment of Pediatrics and Center for Microbiome Innovation, University of California at San Diego, San Diego, California, USA
cDepartments of Computer Science and Engineering and Bioengineering, University of California at San Diego, San Diego, USA
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Jian Xu
aSingle-Cell Center, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
eUniversity of Chinese Academy of Sciences, Beijing, China
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Vanni Bucci
University of Massachusetts Medical School
Roles: Editor
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DOI: 10.1128/mSystems.00150-20
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Article Information

DOI 
https://doi.org/10.1128/mSystems.00150-20
PubMed 
32184368

Published By 
American Society for Microbiology Journals
History 
  • Received February 18, 2020
  • Accepted February 25, 2020
  • Published online March 17, 2020.

Copyright & Usage 
Copyright © 2020 Su et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.
Editors and / or Reviewers 
  • Vanni Bucci, Editor, University of Massachusetts Medical School

Author Information

  1. Xiaoquan Sua,e,
  2. Gongchao Jinga,e,
  3. Zheng Suna,e,
  4. Lu Liua,e,
  5. Zhenjiang Xub,c,
  6. Daniel McDonaldb,
  7. Zengbin Wanga,e,
  8. Honglei Wanga,
  9. Antonio Gonzalezb,c,
  10. Yufeng Zhanga,
  11. Shi Huanga,e,
  12. Gavin Huttleyd,
  13. Rob Knightb,c and
  14. Jian Xua,e
  1. aSingle-Cell Center, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
  2. bDepartment of Pediatrics and Center for Microbiome Innovation, University of California at San Diego, San Diego, California, USA
  3. cDepartments of Computer Science and Engineering and Bioengineering, University of California at San Diego, San Diego, USA
  4. dResearch School of Biology, ANU College of Science, The Australian National University, Canberra, Australia
  5. eUniversity of Chinese Academy of Sciences, Beijing, China
  • Address correspondence to Xiaoquan Su, suxq{at}qibebt.ac.cn, Rob Knight, robknight{at}ucsd.edu, or Jian Xu, xujian{at}qibebt.ac.cn.
  • Citation Su X, Jing G, Sun Z, Liu L, Xu Z, McDonald D, Wang Z, Wang H, Gonzalez A, Zhang Y, Huang S, Huttley G, Knight R, Xu J. 2020. Multiple-disease detection and classification across cohorts via microbiome search. mSystems 5:e00150-20. https://doi.org/10.1128/mSystems.00150-20.

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Multiple-Disease Detection and Classification across Cohorts via Microbiome Search
Xiaoquan Su, Gongchao Jing, Zheng Sun, Lu Liu, Zhenjiang Xu, Daniel McDonald, Zengbin Wang, Honglei Wang, Antonio Gonzalez, Yufeng Zhang, Shi Huang, Gavin Huttley, Rob Knight, Jian Xu
mSystems Mar 2020, 5 (2) e00150-20; DOI: 10.1128/mSystems.00150-20

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Multiple-Disease Detection and Classification across Cohorts via Microbiome Search
Xiaoquan Su, Gongchao Jing, Zheng Sun, Lu Liu, Zhenjiang Xu, Daniel McDonald, Zengbin Wang, Honglei Wang, Antonio Gonzalez, Yufeng Zhang, Shi Huang, Gavin Huttley, Rob Knight, Jian Xu
mSystems Mar 2020, 5 (2) e00150-20; DOI: 10.1128/mSystems.00150-20
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KEYWORDS

microbiome
search
disease detection and classification

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