文档介绍：BMC Bioinformatics BioMed Central
Software Open Access
Visualization and analysis of microarray and gene ontology data
with treemaps
Eric H Baehrecke*1, Niem Dang2, Ketan Babaria2 and Ben Shneiderman2
Address: 1Center for Biosystems Research, University of Maryland Biotechnology Institute, College Park, Maryland 20742, USA and 2Department
puter Science and puter Interaction Laboratory, University of Maryland, College Park, Maryland 20742, USA
Email: Eric H Baehrecke* - ******@; Niem Dang - @; Ketan Babaria - ketanb@;
Ben Shneiderman - ******@
* Corresponding author
Published: 28 June 2004 Received: 31 January 2004
Accepted: 28 June 2004
BMC Bioinformatics 2004, 5:84 doi:-2105-5-84
This article is available from: 1-2105/5/84
© 2004 Baehrecke et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all
media for any purpose, provided this notice is preserved along with the article's original URL.
Abstract
Background: The plexity of genomic data presents several challenges for
biologists. puter monitor views of plexity and the dynamic nature of data in
the midst of discovery increase the challenge of integrating experimental results with information
resources. The use of Gene Ontology enables researchers to summarize results of quantitative
analyses in this framework, but the limitations of typical browser presentation restrict data access.
Results: Here we describe extensions to the treemap design to visualize and query genome data.
Treemaps are a space-filling visualization technique for hierarchical structures that show attributes
of leaf nodes by size and color-coding. Treemaps enable users to pare sizes of nodes
and sub-trees, and we use Gene Ontology categories, levels of RNA, and other quantitative
attributes of DNA microarray experiments as examples. Our implementation of treemaps,
Treemap , a