As an encore to our SfN Workshop, we will be hosting webinars on leveraging the NIH/NIMH Data Repositories' capabilities to advance scientific discovery.

Foundations of Data Exploration and Repeatable Workflows in the CloudFreesurfer, deployed using the NITRC Computational Environment, and ANT pipelines have been used across a similar cohort of images shared in the NIH/NIMH Data Repositories.  Learn how the data was processed and the software and environment are shared and made available for future collaboration. Data Repositories staff will present on the use of the miNDAR database available for data exploration, results reporting and the issuance of a Repositories Digital Object Identifier.January 21, 2015 at 2:00 PM (EST)

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Demonstration of Omics Query and Computation in the CloudReanalysis of over 2,000 families has been performed in the cloud using raw data available and previously shared in NDAR. Sequence alignment files (BAM), unfiltered and annotated variant calls for SNVs and Indels (VCF), and the detection of Copy Number Variants has resulted in over 500,000,000 records from unfiltered variant data (~10,000 subjects x ~ 50,000 variants per exome) that will soon be available for query. Learn how the cloud-based genomics pipeline that produced these results was used, how it can be extended for use in your environment through NDARs public GitHub repository, and the opportunities for community collaboration related to these and similar results using the almost unlimited resources now available in the cloud or your academic environment.January 28, 2015 at 2:00 PM (EST)

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Cloud Computational Approaches: Priming the Semantic Web500,000,000 omic alterations from 10,000 sequences, 3,000,000 regions of interest from 1,000 structural images and 1,000,000 ontological concepts from over 80,000 subjects are now shared. Computational techniques using semantic web technologies against these data are now possible.  While the Repositories offer no specific tools, these results are available in an RDF-like format for use.  The data are sparse.  However, with the inclusion of data from the RDoC initiative, Repository data may now be combined with other datasets using these techniques for data exploration and hypothesis generation.  Learn how these data are being made available and can be combined with other available datasets for those interested in this emerging area of scientific discovery.February 12, 2015 at 3:00 PM (EST)

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Register for all three sessions to learn how to use NIH/NIMH Data Repositories and cloud computation resources to take advantage of scientific opportunities that previously could not have been considered.