UK CropNet Software Development. UK CropNet Software Development Goals z Improve user access to data via user- friendly graphical displays. z Development.

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Presentation transcript:

UK CropNet Software Development

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

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

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

Recombinant Viewer

Comparative Physical and Genetic (CPG) Map single map

Comparative Physical and Genetic (CPG) Map multimap map

Pairwise Comparative Map PCM single map

Pairwise Comparative Map PCM multi-map

Grid Map

Genome Map Viewer

GFace A general interface to ACEDB z ACEDB-style Java interface. z Multiple database connections. z Employs ACEDB graphical displays. z Supports UK CropNet text, tree and class displays.

GFace

A Real-time Comparative Analysis Display Environment (ARCADE) z A tool for making comparative queries over distributed heterogeneous data sources. BarleyDB BrassicaDB CerealsDBFoggDB MilletGenes SpudBase AGR ComapDB ARCADE

Comparative Queries z Simple comparative queries can be grouped into two distinct types. z Common properties e.g. find all genes that are associated with a particular function such as flower development. z Membership of a group e.g. homology group. z Simple comparative queries can be grouped into two distinct types. z Common properties e.g. find all genes that are associated with a particular function such as flower development. z Simple comparative queries can be grouped into two distinct types. z Common properties e.g. find all genes that are associated with a particular function such as flower development. z Membership of a group e.g. homology group. z Both types are supported in ARCADE.

Summary of ARCADE’s Features z Sessions can be saved. z Query builder. z Comparative query language (CQL). z Multiple data sources. z Results displayed as text or graphics. z Can configured to the user’s needs.