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UK CropNet Software Development

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Development of platform independent (Java) graphical displays. ... Platform independent and portable. Graphical Displays. Recombinant Viewer. ... – PowerPoint PPT presentation

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Title: UK CropNet Software Development


1
UK CropNet Software Development
2
UK CropNet Software Development Goals
  • Improve user access to data via user-friendly
    graphical displays.
  • Development of platform independent (Java)
    graphical displays.
  • Integration of these displays into a database
    browser.
  • Provide tools that improve the users ability to
    query integrated data sources.

3
Why Java? Why not just use ACEDB displays
  • ACEDB does not fully support all the displays we
    require.
  • Independent displays are not reliant on a single
    data management system.
  • Fully interactive.
  • Platform independent and portable.

4
Graphical Displays
  • Recombinant Viewer.
  • Comparative Genetic and Physical Map.
  • Pairwise Comparative Map.
  • Grid Map.
  • Genome Map Viewer.

5
Recombinant Viewer
6
Comparative Physical and Genetic (CPG) Map
single map
7
Comparative Physical and Genetic (CPG) Map
multimap map
8
Pairwise Comparative Map PCMsingle map
9
Pairwise Comparative Map PCMmulti-map
10
Grid Map
11
Genome Map Viewer
12
GFace A general interface to ACEDB
  • ACEDB-style Java interface.
  • Multiple database connections.
  • Employs ACEDB graphical displays.
  • Supports UK CropNet text, tree and class
    displays.

13
GFace
14
GFace
15
A Real-time Comparative Analysis Display
Environment (ARCADE)
16
Comparative Queries
  • Simple comparative queries can be grouped into
    two distinct types.
  • Common properties e.g. find all genes that are
    associated with a particular function such as
    flower development.
  • Membership of a group e.g. homology group.
  • Simple comparative queries can be grouped into
    two distinct types.
  • Simple comparative queries can be grouped into
    two distinct types.
  • Common properties e.g. find all genes that are
    associated with a particular function such as
    flower development.
  • Simple comparative queries can be grouped into
    two distinct types.
  • Common properties e.g. find all genes that are
    associated with a particular function such as
    flower development.
  • Membership of a group e.g. homology group.
  • Both types are supported in ARCADE.

17
Summary of ARCADEs Features
  • Sessions can be saved.
  • Query builder.
  • Comparative query language (CQL).
  • Multiple data sources.
  • Results displayed as text or graphics.
  • Can configured to the users needs.
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