Applications of Tree-Maps to hierarchical biological data.
A brief overview of Tree-Maps provides the basis for understanding two new implementations of Tree-Map methods. TreeMapClusterView provides a new way to view microarray gene expression data, and GenePlacer provides a view of gene ontology annotation data. We also discuss the benefits of Tree-Maps to visualize complex hierarchies in functional genomics.


BACKGROUND
Java class files are freely available at http://mendel.mc.duke.edu/bioinformatics/


BACKGROUND
mccon012@mc.duke.edu


BACKGROUND
For more information on TreeMapClusterView (see http://mendel.mc.duke.edu/bioinformatics/software/boxclusterview/), and http://mendel.mc.duke.edu/bioinformatics/software/geneplacer/).
McConnell
Patrick
P
Duke Bioinformatics Shared Resource, Duke University Medical Center, Durham NC 27710, USA. mccon012@mc.duke.edu
Johnson
Kimberly
K
Lin
Simon
S
D000465:Algorithms; D016000:Cluster Analysis; D003196:Computer Graphics; D030541:Databases, Genetic; D023281:Genomics / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods; D010802:Phylogeny; D014584:User-Computer Interface