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 Rutgers University

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MACAT - MicroArray Chromosome Analysis Tool

J. Tödling, S. Schmeier, M. Heinig, B. Georgi and S. Röpcke

Bioinformatics 2005, 21:9, 2112–2113.

Summary: By linking differential gene expression to the chromosomal localization of genes, one can investigate microarray data for characteristic patterns of expression phenomena involving sizeable parts of specific chromosomes. We have implemented a statistical approach for identifying significantly differentially expressed chromosome regions. We demonstrate the applicability of the approach on a publicly available data set on acute lymphocytic leukemia. Availability: The R-package MACAT can be obtained from http://www.compdiag.molgen.mpg.de/software/macat.shtml