Research Report 2019_20

Josh Clevenger, PhD

“Our hope is to bridge the gap between science and nature by more rapidly deploying beneficial traits into cultivated crops farmers can plant on their land. To do this, we will develop better computational tools to help identify selection markers for beneficial traits, and new, rapid breeding practices to introduce these markers into existing crop lines.” — Josh Clevenger, PhD Research Focus: Josh Clevenger, PhD, is a faculty investigator at the HudsonAlpha Institute for Biotechnology. His research focuses on using ge- nomics for crop improvement for sustainable agriculture, especially crops in the southeast and Alabama.

Josh Clevenger, PhD

hudsonalpha.org/faculty/josh-clevenger

EXPERTISE: Genomics, plant biology, plant breeding, sustainable agriculture, peanuts, crop improvement, computational biology

Lab Members:

Computational Biologist: Walid Korani, PhD Research Associate: Prasenjit Saha, PhD

Greg Cooper, PhD

“As we enter an era of personalized medicine, a deep understanding of human genomes will be increasingly important to public health. However, our limited understanding of the functional consequences of most genetic variants represents a major obstacle.” — Greg Cooper, PhD hudsonalpha.org/faculty/greg-cooper Research Focus: Greg Cooper, PhD, is a faculty investigator at the HudsonAlpha Institute for Biotechnology. His work focuses on understand- ing the structures, functions and evolutionary histories of individual human genomes and finding ways to translate that understanding into useful predictions about human health and disease. Lab Members: Senior Scientists: Kevin Bowling, PhD, Susan Hiatt, PhD, Don Latner, PhD, Michelle Thompson, PhD Clinical Project Manager: Candice Finnila, PhD Computational Biologists: David Gray, James Lawlor Postdoctoral Fellow: Matthew Neu, MD, PhD Graduate Student: Stephanie Felker

Greg Cooper, PhD

EXPERTISE: Genetics of developmental delay and intellectual disability; functional genomics; variant analysis; genome annotation

2019-20 Research Report 57

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