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Genetics and Big Data

Project Information

big data
Project Status: Complete
Submitted By: Northeast Cyberteam
Project Email:
Project Institution: UVM
Anchor Institution: University of Vermont
Project Address: University of Vermont
Burlington, Vermont. 05405

Mentors: Katia Oleinik
Students: Abigail Waters

Project Description

The overarching goal of this project is to identify a predictive, quantitative framework describing individual differences in genetic, epigenetic, cognitive, and behavioral markers of emotion-cognition regulation in response to academically stressful situations. Each year, large numbers of young adults drop out of college and university due to self-sabotaging and seemingly irrational behaviors when faced with academic stressors in their young adulthood. This proposal utilizes a cross-disciplinary approach to understanding neuro-biological functionalities and resultant behaviors across a spectrum of neuro-typical and neuro-atypical young adults, the latter being identified as those with diagnosed learning disabilities, such as dyslexia, ADHD, and college-able autism. This project-partnership includes faculty and students from the University of Vermont (sequencing data analyses), Landmark College (research subject recruitment), University of New Hampshire (research subject recruitment), University of Maine (model simulation), and Vermont Genetics Network. Dawei's group has done some trial work at MGHPCC and has been VERY pleased with the results. He would like to scale up -- currently to run one sample, he uses 2TB storage and 5 days of processing with 64GB memory and 12 cores. The planned project has 3,000 samples. To finish them, the storage will be 2TB X 3,000 = 6 PB. Computational time is estimated at 15,000 computing days (5 days X 3,000) using a single processor with 64GB and 12 cores.