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Related Experiment Videos

Purdue ionomics information management system. An integrated functional genomics platform.

Ivan Baxter1, Mourad Ouzzani, Seza Orcun

  • 1Bindley Bioscience Center, Purdue University, West Lafayette, Indiana 47907, USA.

Plant Physiology
|December 26, 2006
PubMed
Summary
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High-throughput phenotyping generates vast data. The Purdue Ionomics Information Management System (PiiMS) manages this data, enabling open access for research and discovery in plant science.

Area of Science:

  • Plant Biology
  • Bioinformatics
  • Genomics

Background:

  • High-throughput phenotyping generates large datasets requiring robust data management.
  • Genomic-scale data acquisition, validation, storage, retrieval, and analysis are crucial.
  • Open access and rapid dissemination of data maximize research impact.

Purpose of the Study:

  • To describe a data management system for high-throughput phenotyping.
  • To introduce the Purdue Ionomics Information Management System (PiiMS).
  • To facilitate data acquisition, analysis, and open access for ionomics research.

Main Methods:

  • Development of the Purdue Ionomics Information Management System (PiiMS).
  • Integration of workflow controls for data acquisition, validation, storage, and analysis.

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  • Deployment as a World Wide Web-enabled system for distributed access.

    • Main Results:

    • PiiMS provides integrated workflow control, data storage, and analysis for high-throughput ionomics.
    • The system facilitates data search, retrieval, and visualization for hypothesis development.
    • PiiMS contains data on elemental concentrations in over 60,000 Arabidopsis thaliana samples.

    Conclusions:

    • PiiMS effectively manages large-scale ionomics data.
    • The system promotes open access and data mining for the research community.
    • PiiMS supports hypothesis-driven research in plant ionomics.