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PubMed · 15572464

MACAT--microarray chromosome analysis tool.

Joern Toedling·Sebastian Schmeier·Matthias Heinig·Benjamin Georgi·Stefan Roepcke
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Abstract

UNLABELLED: 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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AlgorithmsChromosome MappingComputer SimulationGene Expression ProfilingGene FrequencyLinkage DisequilibriumModels, GeneticModels, StatisticalOligonucleotide Array Sequence AnalysisSoftwareEvaluation StudyJournal Article

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Joern Toedling, Sebastian Schmeier, Matthias Heinig, Benjamin Georgi, Stefan Roepcke. 2004-11-30. MACAT--microarray chromosome analysis tool.. https://doi.org/10.1093/bioinformatics%2Fbti183

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