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].