MACAT—microarray chromosome analysis tool

Toedling, Joern; Schmeier, Sebastian; Heinig, Matthias; Georgi, Benjamin; Roepcke, Stefan

doi:10.1093/bioinformatics/bti183

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MACAT—microarray chromosome analysis tool

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Heinig, Matthias
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

Georgi, Benjamin
Max Planck Society;

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Toedling et al. - Bioinformatics.pdf
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引用

Toedling, J., Schmeier, S., Heinig, M., Georgi, B., & Roepcke, S. (2005). MACAT—microarray chromosome analysis tool. Bioinformatics, 21(9), 2112-2113. doi:10.1093/bioinformatics/bti183.

引用: https://hdl.handle.net/11858/00-001M-0000-0010-8661-5

要旨

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.