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This article is part of the supplement: Ninth Annual MCBIOS Conference. Dealing with the Omics Data Deluge

Open Access Proceedings

BirdsEyeView (BEV): graphical overviews of experimental data

Lifeng Zhang1*, Daniel Berleant2, Yi Wang4, Ling Li4, Diane Cook3 and Eve Syrkin Wurtele4

Author affiliations

1 Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa, 50011, USA

2 Department of Information Science, University of Arkansas at Little Rock, Little Rock, AR, 72204, USA

3 Department of Statistics, Iowa State University, Ames, Iowa, 50011, USA

4 Department of Genetics, Cell & Development Biology, Iowa State University, Ames, Iowa, 50011, USA

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Citation and License

BMC Bioinformatics 2012, 13(Suppl 15):S11  doi:10.1186/1471-2105-13-S15-S11

Published: 11 September 2012

Abstract

Background

Analyzing global experimental data can be tedious and time-consuming. Thus, helping biologists see results as quickly and easily as possible can facilitate biological research, and is the purpose of the software we describe.

Results

We present BirdsEyeView, a software system for visualizing experimental transcriptomic data using different views that users can switch among and compare. BirdsEyeView graphically maps data to three views: Cellular Map (currently a plant cell), Pathway Tree with dynamic mapping, and Gene Ontology http://www.geneontology.org webcite Biological Processes and Molecular Functions. By displaying color-coded values for transcript levels across different views, BirdsEyeView can assist users in developing hypotheses about their experiment results.

Conclusions

BirdsEyeView is a software system available as a Java Webstart package for visualizing transcriptomic data in the context of different biological views to assist biologists in investigating experimental results. BirdsEyeView can be obtained from http://metnetdb.org/MetNet_BirdsEyeView.htm webcite.