Big data approaches for analyzing genomic intervals

Genomic interval data is frequently siloed, making it difficult to do cross-database analysis. In this project, we will develop data models and distributed computing techniques to improve analysis.

Nathan Sheffield
School of Medicine

Haiying Shen
School of Engineering and Applied Science

Donald E. Brown
School of Engineering and Applied Science

Find out more: https://3c.virginia.edu/projects/118
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