• DocumentCode
    2413184
  • Title

    SoyMetDB: The soybean metabolome database

  • Author

    Joshi, Trupti ; Yao, Qiuming ; Franklin, L.D. ; Brechenmacher, Laurent ; Valliyodan, Babu ; Stacey, Gary ; Nguyen, Henry ; Xu, Dong

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Missouri, Columbia, MO, USA
  • fYear
    2010
  • fDate
    18-21 Dec. 2010
  • Firstpage
    203
  • Lastpage
    208
  • Abstract
    SoyMetDB is a metabolomic database for soybean, developed to target the growing needs of the soybean community. The goal is to provide a one-stop web resource for integrating, mining and visualizing soybean metabolomic data, including identification and expression of various metabolites across different experiments and time courses. It incorporates GC-MS and LC-MS based metabolite-profiling data dynamically linked to metabolite information from other public metabolomic databases, including HMDB and Knapsack. SoyMetDB includes Arabidopsis metabolomic data for cross-species comparisons and can retrieve information including the expression patterns of various experiments for complete or partial metabolite name queries. It also incorporates a pathway viewer tool integrating the data from various experimental conditions and presenting them on the pathways to highlight the expressed metabolite, and identifies the most highly represented pathways for multiple metabolite queries. SoyMetDB can be accessed at http://soymetdb.org.
  • Keywords
    bioinformatics; botany; data mining; data visualisation; multimedia databases; Arabidopsis metabolomic data; HMDB; Knapsack; SoyMetDB; data integration; data mining; data visualization; metabolite profiling data; one stop web resource; soybean community; soybean metabolome database; Chemicals; Compounds; Databases; Hair; Metabolomics; Proteins; Stress; Glycine max; database; metabolite; metabolome; soybean;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2010 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-8306-8
  • Electronic_ISBN
    978-1-4244-8307-5
  • Type

    conf

  • DOI
    10.1109/BIBM.2010.5706563
  • Filename
    5706563