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The Ionomics Atlas  Progress Report

Mourad Ouzzani David Salt Nabeel Mohamed. The Ionomics Atlas  Progress Report. Goal of the project. Develop a Google Map based intuitive graphical user interface that allows to access, analyze, interpret and find correlations among the following three properties in plant populations.

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The Ionomics Atlas  Progress Report

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  1. Mourad Ouzzani David Salt Nabeel Mohamed The Ionomics Atlas Progress Report

  2. Goal of the project • Develop a Google Map based intuitive graphical user interface that allows to access, analyze, interpret and find correlations among the following three properties in plant populations. • Ionomic information • Genetic information • Environmental information

  3. Tasks • Requirement analysis [DONE] • Understand the project proposal • Decide the functional requirements  • Understand Piims and related data sources [DONE] • Understand and gather input data [DONE - ionomic and genetic info; TODO - environmental info] • Database design [DONE] • System design [DONE] • Front-end design [IN PROGRESS] • Query mode [IN PROGRESS] • Browsing mode [IN PROGRESS] • Populate database [DONE - ionomic/genetic, TODO - environmental] • Implementation [IN PROGRESS]

  4. Input Data • Ionomic information: The project utilizes 360 different populations of the plant Arabidopsis thaliana. Each accession has the corresponding GIS information and ionomics information available through PiiMS database.  • Genetic information: For each accession, genotype information available in a compact representation containing 250,000 sub-sequences.   • Environmental information: The project utilizes the environmental information such as geographic location, altitude, climate (rainfall, temperature), soil properties, etc. Such environmental information are retrieved from public European databases.

  5. Ionomic/Genetic/Environmental data • There were some data quality issues with the input data we received. • Following are the main inconstancies: • Encoding errors • Formatting errors • Missing data •  Cleaned the data programmatically as well as manually

  6. Arabidopsis thaliana data • 360 accessions in total, we currently have • ionomic information for 350 accessions • genetic information for 337 accessions • GIS information for all 360 accessions

  7. Technologies • Database - Postgresql • Application server - Tomcat (back-end in Java) • Web technologies - GWT - Google Web Toolkit which supports AJAX based web pages (javascripts), JSP • Map - Google Maps along with free libraries to create overlays

  8. Database design

  9. Simple system architecture

  10. Initial front-end layout • The web page consists of two frames • Filters and output options • Google map overlaying accessions

  11. A screen shot of work-in-progress front end • Initially, all the 360 accessions are displayed  • Depending on the filters, only the relevant accessions are shown (back-end functionality for filtering is in-progress)

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