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![]() The LONI Pipeline Processing Environment is hosted at UCLA's Laboratory of Neuro Imaging. It has been used quite successfully since its release in the neuroimaging field. It has been downloaded over 700 times and there are close to 100 registered users within LONI and its collaborators. The Pipeline has sped up research in this area, allowing researchers to focus upon the research and not the mundane and repetitive administrative tasks of data management and processing. It also has provided an easy mechanism for researchers to disseminate their research processes. All software grow and evolve along with user feedback, and the Pipeline is no different. Since its initial release, much of the feedback has been constructive, suggesting useful functionalities that could be integrated with the application. We have added features and removed bugs accordingly. The architecture of the environment has been reorganized to aid in accomplishing these, and future, tasks. A modular architecture, with task specific components that provide quick and easy customization, is currently under development. By cleanly separating these components, the development process has reduced in complexity and speeded up dramatically. Taking advantage of this has allowed us to make other dramatic improvements (which are included in the upcoming v3 release). These new improvements include improved security, grid computing integration, automated process management, automated resource management, advanced debugging, and fault tolerance. Integration of additional functionalities, which include vizualization, validation, and provenance, are planned. For developers who wish to make their own contributions to the development of the Pipeline, an application programming interface (API) will be made available. |