Multimodal Approaches to Interpreting the Non-Coding Genome: Evolution, Functional Genomics, and Machine Learning

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While we know have an increased appreciation for the regulatory roles of the non-coding genome, there are still many regions which remain to be defined. This session will leverage cross-species comparisons, epigenetic approaches and machine learning to interpret the non-coding genome. Moreover, massively parallel reporter assays are an increasingly attractive technology for functionally testing the regulatory potential of non-coding DNA at scale, the use of this technology will also be presented.

Please note: This item is only available as part of the ASHG 2024 Annual Meeting Digital Pass.

Jacqueline J Harris, PhD (Moderator)

Assistant Professor

Rust College

Jeffrey Calhoun, PhD (Moderator)

Research Assistant Professor

Northwestern University

Brianne Rogers, PhD

Postdoctoral Research

HudsonAlpha Institute for Biotechnology

Janet Song, PhD

Postdoc in the Walsh Lab

Boston Children's Hospital

Amber Zimmerman, PhD

Postdoctoral Fellow at Children's Hospital of Philadelphia

University of Pennsylvania

William DeGroat

Undergraduate Researcher

Rutgers

Minhui Chen, PhD

Staff Scientist

University of Chicago

Anusri Pampari, PhD

Graduate Student

Stanford

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Recorded 11/06/2024  |  60 minutes
Recorded 11/06/2024  |  60 minutes