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

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Manage episode 295693293 series 1537951
Content provided by Roman Cheplyaka. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Roman Cheplyaka or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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.

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If you enjoyed this episode, please consider supporting the podcast on Patreon.

  continue reading

70 episodes

Artwork
iconShare
 
Manage episode 295693293 series 1537951
Content provided by Roman Cheplyaka. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Roman Cheplyaka or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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:

If you enjoyed this episode, please consider supporting the podcast on Patreon.

  continue reading

70 episodes

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