bioinformatics chat

Enformer: predicting gene expression from sequence with Žiga Avsec (#64)

November 9, 2021

In this episode, Jacob Schreiber interviews Žiga Avsec about a recently released model, Enformer. Their discussion begins with life differences between academia and industry, specifically about how research is conducted in the two settings. Then, they discuss the Enformer model, how it builds on previous work, and the potential that models like it have for genomics research in the future. Finally, they have a high-level discussion on the state of modern deep learning libraries and which ones they use in their day-to-day developing.


Music: Eric Skiff — Come and Find Me (modified, licensed under CC BY 4.0).

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