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Review: Survey on Algorithms for Tandem Mass Spectrometry Oligosaccharide Identification
Received:December 31, 2016  Revised:March 20, 2017
Key words:mass spectrometry, oligosaccharide, algorithm, oligosaccharide identification
Fund:国家自然科学基金(31270834, 31671369, 61272318, 30870572, 61303161)资助项目
Author NameAffiliationE-mail
WANG Yao-Jun Guanghua School of Management, Peking University, Beijing 100871, China
Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China 
wangyaojun@pku.edu.cn 
HUANG Chun-Cui Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China  
GAO Feng Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China  
ZHANG Jing-Wei Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China  
LI Yan Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China  
BU Dong-Bo Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China  
SUN Shi-Wei Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China dwsun@ict.ac.cn 
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Abstract:
      Glycomics research plays an important role in life sciences and biomedicine industry. Oligosaccharide structure identification is one of the important research topics of glycomics. The development of high-throughput mass spectrometry technology in recent decade contributes significantly to oligosaccharide structure identification. In this review, we introduced the research background of tandem mass spectrometry assisted glycan structure identification. Then, we reviewed the current strategies used for glycan identification and analyzed the key technologies of existing methods. Finally, we summarized the advantages and disadvantages of the existing methods. The outlook on utilization of tandem mass spectrometry to assist oligosaccharide structure identification is also discussed.
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