<commit_before><commit_msg>add paper tweet<commit_after>---
layout: single
title: "Deciphering 3D genome folding using deep learning"
categories: news
excerpt:
tags:
  - embeds
  - twitter
---

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Excited to share our work developing experimental strategies for deep learning models to decipher how DNA sequence informs 3D genome folding! Our study points to understudied links between repetitive elements and chromatin organization. Link: <a href="https://t.co/CtcU7EbjMS">https://t.co/CtcU7EbjMS</a> (1/12) <a href="https://t.co/mUrSSCcZiq">pic.twitter.com/mUrSSCcZiq</a></p>&mdash; <NAME> (@lauragunsalus) <a href="https://twitter.com/lauragunsalus/status/1558109236562759680?ref_src=twsrc%5Etfw">August 12, 2022</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>


<br />The embedded thread above (1/12) covers the key results. For details see Laura's preprint, [In silico discovery of repetitive elements as key sequence determinants of 3D genome folding](https://www.biorxiv.org/content/10.1101/2022.08.11.503410v1).
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