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Prediction Of Histone Post-Translational Modifications Using Deep Learning
Bioinformatics ( IF 5.8 ) Pub Date : 2020-12-26 , DOI: 10.1093/bioinformatics/btaa1075
Dipankar Ranjan Baisya 1 , Stefano Lonardi 1
Affiliation  

Histone post-translational modifications (PTMs) are involved in a variety of essential regulatory processes in the cell, including transcription control. Recent studies have shown that histone PTMs can be accurately predicted from the knowledge of transcription factor binding or DNase hypersensitivity data. Similarly, it has been shown that one can predict PTMs from the underlying DNA primary sequence.

中文翻译:

使用深度学习预测组蛋白翻译后修饰

组蛋白翻译后修饰 (PTM) 参与细胞中的各种基本调节过程,包括转录控制。最近的研究表明,可以根据转录因子结合或 DNase 超敏反应数据的知识准确预测组蛋白 PTM。同样,已经表明可以根据基础 DNA 一级序列预测 PTM。
更新日期:2020-12-26
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