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Bioinformatics Advance Access originally published online on November 30, 2004
Bioinformatics 2005 21(9):2112-2113; doi:10.1093/bioinformatics/bti183
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© The Author 2004. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions{at}oupjournals.org

MACAT—microarray chromosome analysis tool

Joern Toedling , Sebastian Schmeier , Matthias Heinig , Benjamin Georgi and Stefan Roepcke *

Freie Universitaet Berlin, Bioinformatics programme and Max Planck Institute for Molecular Genetics Ihnestr 73, D-14195 Berlin, Germany

*To whom correspondence should be addressed.

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

Contact: roepcke{at}molgen.mpg.de

Supplementary information: http://www.compdiag.molgen.mpg.de/software/macat.shtml


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