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  MACAT--microarray chromosome analysis tool

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.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-8748-8 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-8749-6
Genre: Journal Article

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 Creators:
Toedling, Joern1, Author
Schmeier, Sebastian, Author
Heinig, Matthias2, Author           
Georgi, Benjamin1, Author
Roepcke, Stefan1, Author
Affiliations:
1Max Planck Society, ou_persistent13              
2Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433547              

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 Abstract: 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

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Language(s): eng - English
 Dates: 2005-01-01
 Publication Status: Issued
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 Identifiers: eDoc: 272390
DOI: 10.1093/bioinformatics/bti183
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Title: Bioinformatics
Source Genre: Journal
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Pages: - Volume / Issue: 21 (9) Sequence Number: - Start / End Page: 2112 - 2113 Identifier: ISSN: 1367-4803