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Bioinformatics Advance Access originally published online on March 3, 2009
Bioinformatics 2009 25(9):1208-1210; doi:10.1093/bioinformatics/btp125
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© The Author 2009. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

IllouraTM: a software tool for analysis, visualization and semantic querying of cellular and other spatial biological data

Tim McComb 1,2,{dagger}, Oliver Cairncross 1,2,{dagger}, Andrew B. Noske 1,2, David L. A. Wood 1,2, Brad J. Marsh 1,2,3 and Mark A. Ragan 1,2,*

1Institute for Molecular Bioscience, 2ARC Centre of Excellence in Bioinformatics and 3Centre for Microscopy and Microanalysis, The University of Queensland, Brisbane, Queensland 4072, Australia

*To whom correspondence should be addressed.


  Abstract

Summary: New high-resolution approaches for mapping ultrastructure of cells in 3D are leading to unprecedented quantities of spatial data. Here we present Illoura, a software tool for the integrated management, analysis and visualization of these data within a semantic context, and illustrate its capability by analysis of spatial relationships in mammalian beta cells.

Availability: http://www.visiblecell.com/illoura

Contact: m.ragan@uq.edu.au

Supplementary information: Supplementary data are available at Bioinformatics online.

{dagger}The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors.

Associate Editor: Dmitrij Frishman

Received on December 14, 2008; revised on February 28, 2009; accepted on February 28, 2009

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