• DocumentCode
    2319574
  • Title

    SMISB: A system for Managing Minimum Information from omics´ studies in systems biology

  • Author

    Ko, Kyung Dae ; Liu, Chunmei ; Mashariki, Amen Ra ; Burge, Legand

  • Author_Institution
    Dept. of Syst. & Comput. Sci., Howard Univ., Washington, DC, USA
  • fYear
    2012
  • fDate
    9-12 May 2012
  • Firstpage
    164
  • Lastpage
    168
  • Abstract
    Because biological systems with high-throughput performance generate huge amount of experimental data, biologists need efficient methods to analyze large datasets. Specifically, researchers in systems biology require the ability to compare and integrate complex data from different omics´ experiments. This requirement results in the standardization of formats for data representation and communication. These standards can be categorized into three parts: reporting, data exchange and modeling, and terminology. Even though these standards are very helpful for analyzing data in each omics´ experiment, we need to integrate them into unified standardized format for studies of systems biology because most researchers in systems biology require cross-omics´ studies. To satisfy these requirements, we developed the object model for SMISB (System of Managing Minimum Information in Systems Biology). This model accommodates reporting, exchange, and management of data from five different omics such as genomics, epigenomics, transcriptomics, proteomics, and metabolomics.
  • Keywords
    bioinformatics; data communication; data structures; electronic data interchange; genomics; medical information systems; proteomics; standardisation; SMISB; data communication; data exchange; data management; data modeling; data reporting; data representation; data terminology; epigenomics; high-throughput performance; metabolomics; minimum information management; omics studies; proteomics; standardization; systems biology; transcriptomics; unified standardized format; Biological system modeling; Data models; Databases; Genomics; Standards; Systems biology; minimum information; object model; omics; systems biology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2012 IEEE Symposium on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-1190-8
  • Type

    conf

  • DOI
    10.1109/CIBCB.2012.6217226
  • Filename
    6217226