This article is part of the supplement: The ISIBM International Joint Conferences on Bioinformatics, Systems Biology and Intelligent Computing (IJCBS)

Open Access Open Badges Research

Cross-domain neurobiology data integration and exploration

Weijian Xuan14, Manhong Dai1, Josh Buckner1, Barbara Mirel24, Jean Song34, Brian Athey14, Stanley J Watson1 and Fan Meng14*

Author Affiliations

1 Psychiatry Department and Molecular and Behavioral Neuroscience Institute, University of Michigan, USA

2 School of Education, University of Michigan, USA

3 Health Science Libraries, University of Michigan, USA

4 National Center for Integrative Biomedical Informatics, University of Michigan, USA

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BMC Genomics 2010, 11(Suppl 3):S6  doi:10.1186/1471-2164-11-S3-S6

Published: 1 December 2010



Understanding the biomedical implications of data from high throughput experiments requires solutions for effective cross-scale and cross-domain data exploration. However, existing solutions do not provide sufficient support for linking molecular level data to neuroanatomical structures, which is critical for understanding high level neurobiological functions.


Our work integrates molecular level data with high level biological functions and we present results using anatomical structure as a scaffold. Our solution also allows the sharing of intermediate data exploration results with other web applications, greatly increasing the power of cross-domain data exploration and mining.


The Flex-based PubAnatomy web application we developed enables highly interactive visual exploration of literature and experimental data for understanding the relationships between molecular level changes, pathways, brain circuits and pathophysiological processes. The prototype of PubAnatomy is freely accessible at: [ webcite]