International Mammalian Genome Society

17th International Mouse Genome Conference

9-12 November 2003, Braunschweig, Germany


15:15 – 15:30 HRS


Hedeler C
University of Manchester

Co-Authors: Else K J, Paton N W
Institutions: University of Manchester

The study of immune response to infection by pathogens provides useful insights for the development of anti-parasitic drugs. To be of full benefit, an understanding of the immune response to infection is necessary; this can be gained by applying several analysis techniques.

Recently, the development of new techniques, such as microarrays, has lead to large scale analysis being used more frequently. The outcomes of these techniques are vast amounts of data, requiring extensive use of databases and several analysis tools to manage and examine the data efficiently. Recent work has addressed this requirement in general, but little work has yet been done to address requirements arising out of studies of the immune response.

To identify the requirements arising out of the study of immune response, a systematic characterisation and classification of tasks which are of particular interest to immunologists is presented. Fulfilling these tasks requires further information from different data sources, e.g. Gene Ontology Annotation; these, too, are investigated together with their corresponding tasks.

A prototype implementation that combines tight integration of the identified data and their analysis by providing means to carry out the characterised tasks is presented. To evaluate the prototype and its usefulness, its exemplary use within a case study involving immune response of mouse to infection by Trichuris muris is described.

The software is expected to be not only useful for this case study but also for a wider community of immunologists, working with different model systems and studying different aspects of immune response.

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