3D genome organization and GRiNCH with Da-Inn Erika Lee

In this episode, Jacob Schreiber interviews Da-Inn Erika Lee about

data and computational methods for making sense of 3D genome structure. They

begin their discussion by talking about 3D genome structure at a high level

and the challenges in working with such data. Then, they discuss a method

recently developed by Erika, named GRiNCH, that mines this data to

identify spans of the genome that cluster together in 3D space and

potentially help control gene regulation.

Links:

GRiNCH: simultaneous smoothing and detection of topological units of genome organization from sparse chromatin contact count matrices with matrix factorization (Da-Inn Lee and Sushmita Roy)

GRiNCH Project Page

In silico prediction of high-resolution Hi-C interaction matrices (Shilu Zhang, Deborah Chasman, Sara Knaack, and Sushmita Roy)

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