MACAT--microarray chromosome analysis tool.
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.


BACKGROUND
The R-package MACAT can be obtained from http://www.compdiag.molgen.mpg.de/software/macat.shtml


BACKGROUND
http://www.compdiag.molgen.mpg.de/software/macat.shtml.
Toedling
Joern
J
Freie Universitaet Berlin, Bioinformatics programme and Max Planck Institute for Molecular Genetics, Germany.
Schmeier
Sebastian
S
Heinig
Matthias
M
Georgi
Benjamin
B
Roepcke
Stefan
S
D000465:Algorithms; D002874:Chromosome Mapping / Q000379:methods*; D003198:Computer Simulation; D020869:Gene Expression Profiling / Q000379:methods*; D005787:Gene Frequency; D015810:Linkage Disequilibrium / Q000235:genetics; D008957:Models, Genetic; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012984:Software