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1. Search  for all "pre-cancerous" biospecimens that are available for sharing at Washington University, Thomas Jefferson University, and Holden Comprehensive Cancer Center.
2. Identify samples obtained for Glioblastoma multiforme (GBM) and the corresponding CT image information.
3. Determine if each sample used in an expression profiling experiment is available for a SNP analysis experiment.
4. Search for a particular gene based on the Entrez Gene ID and its related information  e.g. messenger RNA and protein information from GeneConnect.
5. Automatically discover analytical steps using Illumina bead array analysis using inference based on the semantic metadata of the parameters.
6. Support patient to trial matching through the use of computable eligibility criteria
7. Support the addition of data elements to an existing information model and automatically capture and publish the information about the extensions.
8. When defining new datasets for caIntegrator's data-warehouse for biomedical data collection and analysis, automatically record these new datatypes in a well-defined and federated manner so that data can be shared.
9. Discover and orchestrate services to achieve LS research goals; e.g. start with a hypothesis, identify relevant services that provides the necessary analysis and data, create the worklow/pipeline, report findings. Workflow related requirements:
   • https://cabig-kc.nci.nih.gov/Vocab/forums/viewtopic.php?f=43&t=146
   • https://wiki.nci.nih.gov/x/VAhyAQ
   • https://wiki.nci.nih.gov/x/FxRlAQ
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