MACAT--microarray chromosome analysis tool

Bioinformatics. 2005 May 1;21(9):2112-3. doi: 10.1093/bioinformatics/bti183. Epub 2004 Nov 30.


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

Supplementary information:

Publication types

  • Evaluation Study

MeSH terms

  • Algorithms*
  • Chromosome Mapping / methods*
  • Computer Simulation
  • Gene Expression Profiling / methods*
  • Gene Frequency
  • Linkage Disequilibrium / genetics
  • Models, Genetic
  • Models, Statistical*
  • Oligonucleotide Array Sequence Analysis / methods*
  • Software*