›› 2018, Vol. 38 ›› Issue (7): 805-.doi: 10.3969/j.issn.1674-8115.2018.07.017

• Review • Previous Articles     Next Articles

Advance in full-functional software of metabolomics

LIANG Dan-dan, LI Yi-tao, ZHENG Xiao-jiao, CHEN Tian-lu   

  1. Center for Translational Medicine, Shanghai Sixth Peoples Hospital, Shanghai Jiao Tong University, Shanghai 200233, China
  • Online:2018-07-28 Published:2018-07-30
  • Supported by:
    National Natural Science Foundation of China, 31501079, 31500954, 81772530

Abstract: Data processing and analysis has presented major bottlenecks in high-throughput metabolomics research. Bioinformatics tools emerged for performing these high-throughput datasets. These tools can preprocess complex high-dimensional datasets, detect and annotate metabolites, perform various statistical analysis and results interpretation. According to the workflow and methods of metabolomics data processing and analysis, this paper summarized some integral metabolomics softwares and compared the merit and demerit of four typical tools so that it can provide users with a reference guide to softwares.

Key words: metabolomics, data processing, statistical analysis, integrated software

CLC Number: