Sungear: interactive visualization and functional analysis of genomic datasets

Sungear is a software system that supports a rapid, visually interactive and biologist-driven comparison of large datasets. The datasets can come from microarray experiments (e.g. genes induced in each experiment), from comparative genomics (e.g. genes present in each genome) or even from non-biolog...

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Bibliographic Details
Published in:Bioinformatics Vol. 23; no. 2; pp. 259 - 261
Main Authors: Poultney, Christopher S., Gutiérrez, Rodrigo A., Katari, Manpreet S., Gifford, Miriam L., Paley, W. Bradford, Coruzzi, Gloria M., Shasha, Dennis E.
Format: Journal Article
Language:English
Published: Oxford Oxford University Press 15-01-2007
Oxford Publishing Limited (England)
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Summary:Sungear is a software system that supports a rapid, visually interactive and biologist-driven comparison of large datasets. The datasets can come from microarray experiments (e.g. genes induced in each experiment), from comparative genomics (e.g. genes present in each genome) or even from non-biological applications (e.g. demographics or baseball statistics). Sungear represents multiple datasets as vertices in a polygon. Each possible intersection among the sets is represented as a circle inside the polygon. The position of the circle is determined by the position of the vertices represented in the intersection and the area of the circle is determined by the number of elements in the intersection. Sungear shows which Gene Ontology terms are over-represented in a subset of circles or anchors. The intuitive Sungear interface has enabled biologists to determine quickly which dataset or groups of datasets play a role in a biological function of interest. Availability: A live online version of Sungear can be found at Contact:shasha@cs.nyu.edu Supplementary information: Submitted—link TBD.
Bibliography:To whom correspondence should be addressed.
istex:F1067CC028D8D06B8EF0F54E1670616F2E1BF3EB
Associate Editor: Thomas Lengauer
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ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1367-4803
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btl496