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Applications of Tree-Maps to hierarchical biological data

BioinformaticsPublished 1 September 2002
Patrick McConnell, Kimberly Johnson, Simon Lin
Citations18
SJR quartileQ1
SJR score2.45
SNIP1.47

TL;DR

TreeMapClusterView provides a new way to view microarray gene expression data, and GenePlacer provides a view of gene ontology annotation data in Tree-Map methods.

Abstract

UNLABELLED: 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. AVAILABILITY: Java class files are freely available at http://mendel.mc.duke.edu/bioinformatics/ CONTACT: [email protected] SUPPLEMENTARY INFORMATION: For more information on TreeMapClusterView (see http://mendel.mc.duke.edu/bioinformatics/software/boxclusterview/), and http://mendel.mc.duke.edu/bioinformatics/software/geneplacer/).

Keywords

Biochemistry, Genetics and Molecular Biology