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MACAT--microarray chromosome analysis tool
Authors:Toedling Joern  Schmeier Sebastian  Heinig Matthias  Georgi Benjamin  Roepcke Stefan
Institution:Freie Universitaet Berlin, Bioinformatics programme and Max Planck Institute for Molecular Genetics, Germany.
Abstract: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 SUPPLEMENTARY INFORMATION: http://www.compdiag.molgen.mpg.de/software/macat.shtml.
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