Cross-domain neurobiology data integration and exploration

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 cr...

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Bibliographic Details
Published in:BMC genomics 2010-12, Vol.11 Suppl 3 (Suppl 3), p.S6-S6
Main Authors: Xuan, Weijian, Dai, Manhong, Buckner, Josh, Mirel, Barbara, Song, Jean, Athey, Brian, Watson, Stanley J, Meng, Fan
Format: Article
Language:English
Subjects:
Biology
Biomedical research
Data mining
Data Mining - methods
Database Management Systems
Databases, Factual
Gene Regulatory Networks
Genes
Genomics
Internet
MEDLINE
Models, Neurological
Neurosciences
Search engines
Studies
User-Computer Interface
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Summary: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: [http://brainarray.mbni.med.umich.edu/Brainarray/prototype/PubAnatomy].
ISSN:1471-2164
1471-2164
DOI:10.1186/1471-2164-11-S3-S6