Cross-domain neurobiology data integration and exploration.

TitleCross-domain neurobiology data integration and exploration.
Publication TypeJournal Article
Year of Publication2010
AuthorsXuan, Weijian, Dai Manhong, Buckner Josh, Mirel Barbara, Song Jean, Athey Brian, Watson Stanley J., and Meng Fan
JournalBMC Genomics
Volume11 Suppl 3
PaginationS6
Date Published2010
ISSN1471-2164
KeywordsData Mining, Database Management Systems, Databases, Factual, Gene Regulatory Networks, Internet, MEDLINE, Models, Neurological, User-Computer Interface
Abstract

BACKGROUND: 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.RESULTS: 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.CONCLUSIONS: 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].

DOI10.1186/1471-2164-11-S3-S6
Alternate JournalBMC Genomics
PubMed ID21143788
PubMed Central IDPMC2999351
Grant List1U54DA021519-01A1 / DA / NIDA NIH HHS / United States
P01 DA021633 / DA / NIDA NIH HHS / United States