This subproject is one of many research subprojects utilizing theresources provided by a Center grant funded by NIH/NCRR. The subproject andinvestigator (PI) may have received primary funding from another NIH source,and thus could be represented in other CRISP entries. The institution listed isfor the Center, which is not necessarily the institution for the investigator.The success of computationally and data intensive biological research depends upon the ability of researchers to effectively share and distribute their data, techniques and procedures across widely distributed sites and encompassing a variety of disciplines. Over the past decade, we developed well-organized and highly collaborative approaches to perform and manage the analysis of neuroinaaging studies, and extended those approaches to include imaging and non-imaging biological data. We focus on the information infrastructure required to support computational biology studies between cross-disciplinary groups at multiple institutions. Core 4 provides the information infrastructure to integrate the mathematical approaches and algorithms developed in Core 1 with the techniques and procedures developed in Core 2 in order to address driving biological problems as exemplified in Core 3. Core 4 also provides inforrnatics research and development expertise to support the invention of new approaches, computing techniques, software toolkits, and applications as needed throughout the Center for Computational Biology. In concert with Cores 5 and 6, Core 4 provides training and education to teach researchers how to use the specialized tools and resources required for computational biology research. Lastly, Core 4 provides technical support to assist local and remote users to use the resources and resolve problems.

National Institute of Health (NIH)
National Center for Research Resources (NCRR)
Specialized Center--Cooperative Agreements (U54)
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Special Emphasis Panel (ZRG1-BST-C (55))
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University of California Los Angeles
Schools of Medicine
Los Angeles
United States
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Dinov, Ivo D; Siegrist, Kyle; Pearl, Dennis K et al. (2016) Probability Distributome: A Web Computational Infrastructure for Exploring the Properties, Interrelations, and Applications of Probability Distributions. Comput Stat 31:559-577
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