BirdsEyeView (BEV): graphical overviews of experimental data

Lifeng Zhang, Daniel Berleant, Y. Wang, Ling Li, Diane Cook, Eve Syrkin Wurtele

Research output: Contribution to journalArticleResearchpeer-review

Abstract

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. 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 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. 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.

Original languageEnglish
Article numberS11
Number of pages10
JournalBMC Bioinformatics
Volume13
Issue numberSuppl 15
DOIs
Publication statusPublished - Sep 2012
Externally publishedYes

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