Modeling chromatin state from sequence across angiosperms using recurrent convolutional neural networks

Abstract Accessible chromatin regions are critical components of gene regulation but modeling them directly from sequence remains challenging, especially within plants, whose mechanisms of chromatin remodeling are less understood than in animals. We trained an existing deep‐learning architecture, Da...

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Bibliographic Details
Main Authors: Travis Wrightsman, Alexandre P. Marand, Peter A. Crisp, Nathan M. Springer, Edward S. Buckler
Format: Article
Language:English
Published: Wiley 2022-09-01
Series:The Plant Genome
Online Access:https://doi.org/10.1002/tpg2.20249