#61 3D genome organization and GRiNCH with Da-Inn Erika Lee скачать в хорошем качестве

#61 3D genome organization and GRiNCH with Da-Inn Erika Lee

In this episode, Jacob Schreiber (https://jmschrei.github.io/) interviews Da-Inn Erika Lee (https://dyneofdata.github.io/) 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 (https://roy-lab.github.io/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 (https://genomebiology.biomedcentral.c...) (Da-Inn Lee and Sushmita Roy) • GRiNCH Project Page (https://roy-lab.github.io/grinch/) • In silico prediction of high-resolution Hi-C interaction matrices (https://www.nature.com/articles/s4146...) (Shilu Zhang, Deborah Chasman, Sara Knaack, and Sushmita Roy) If you enjoyed this episode, please consider supporting the podcast on Patreon (  / bioinfochat  ) .