Integrative Models of Aging
Integrative Models of Aging
The overarching goal of the SD-NSC Integrative Models of Aging Core is to facilitate the integration and interpretation of large and complex datasets from single-cell sequencing, proteomic, imaging, and other multi-dimensional analyses related to the heterogeneity of aging. The resources offered include ways to:
- Identify and implement the hardware and software resources required to pre-process and store sequencing, proteomics, metabolomics and imaging data.
- Implement integrative computational models to map diverse pre-processed data inputs into interpretable models of the heterogeneity of aging. This will include fulfilling requests to apply established techniques for the integrative analysis of data, and developing customized predictive computational models as tools for answering specific aging questions.
Services and prices*
Click here for details
*Listed SD-NSC subsidized rates apply to Pilot Grant Applicants and SD-NSC affiliated aging researchers. NSC affiliates and non-NSC affiliated aging researchers: please inquire.
Additional Resources
Please visit the following pages for additional resources and tools:
Integrative Genomics and Bioinformatics facility
Computational Neurobiology laboratory
Personnel and Contact Information
Tatyana Sharpee, PhD
Professor,
Computational Neurobiology Laboratory
Edwin K. Hunter Chair
