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Comparative and Functional Genomics
Volume 5, Issue 1, Pages 75-78
http://dx.doi.org/10.1002/cfg.362
Conference review

MicroCore: Mapping Genome Expression to Cell Pathways and Networks

1Department of Clinical Oncology, Royal Free and University College Medical School, Rowland Hill Street, London NW3 2PF, UK
2Department of Biochemistry and Molecular Biology, University College London, Gower Street, London WC1E 6BT, UK

Received 13 November 2003; Revised 18 November 2003; Accepted 25 November 2003

Copyright © 2004 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The MicroCore toolkit is a suite of analysis programs for microarray and proteomics data that is open source and programmed exclusively in Java. MicroCore provides a flexible and extensible environment for the interpretation of functional genomics data through visualization. The first version of the application (downloadable from the MicroCore website: http://www.ucl.ac.uk/oncology/MicroCore/microcore.htm), implements two programs—PIMs (protein interaction maps) and MicroExpress—and is soon to be followed by an extended version which will also feature a fuzzy k-means clustering application and a Java-based R plug-in for microarray analysis. PIMs and MicroExpress provide a simple yet powerful way of graphically relating large quantities of expression data from multiple experiments to cellular pathways and biological processes in a statistically meaningful way.