Justification for delivering demo and/or technical requirements (for demos)
The NeuroLOG environment is accessible through a high level, portable and integrated GUI. The client has a strong visual impact. It provides convincing grid-enabled use cases from a sensitive domain.
Neurosciences are increasingly relying on computerized analysis of large, coherent data sets including images and associated information on the clinical and environmental context. Indeed, epidemiological, therapy and drug impact studies require the analysis of large population of patient images over long periods. Furthermore, large data sets are required to build neuro-atlases characterizing the anatomy and physiology of the normal or pathological brain. Federating domain-specific resources is increasingly important to assemble the data sets required, or to compare data analysis procedures developed in neuroscience centers. Data sets can be assembled for pathologies with low occurrence rates. Specialized atlases can be composed for specific populations. Variations of pathologies can be studied over large geographical areas. Best practices can be identified and exchanged.
The neuro-scientists are standing half way between clinical neurologists and computer scientists. They are accustomed to the use of computing environments for supporting their experiments and they are a vector to demonstrate the use of computerized models and tools to the clinical world.
Conclusions and Future Work
This demonstration will show the use of the NeuroLOG middleware in concrete neuroscience data analysis use cases: adding users to the federation, granting access to the resources, browsing the distributed data sets, selecting data sets relevant for a given study and executing a neurosciences pipeline. It will emphasise on the use of distributed resources and the exploitation of the EGEE grid for the addressing the computation needs. It will discuss the usability of grid resources for neurosciences and the perspectives to better support that community in the future.
In addition, the middleware provides neuro-data analysis tools representation and deployment functionality. The collaborating centers can expose and share their data analysis algorithms for integration in neuro-image analysis pipelines. The MOTEUR workflow designer and enactor is used to describe neurosciences studies, taking advantage of the distributed computing resources provided by EGEE. The workflow engine is seamlessly integrated to the data management layer to facilitate the manipulation of experimental data sets. All facets of the NeuroLOG middleware are integrated in a unique graphical environment.
|Keywords||Neurosciences, Workflows, Data Representation, Data Federation|
|URL for further information||http://neurolog.polytech.unice.fr|