Graphylo: A deep learning approach for predicting regulatory DNA and RNA sites from whole-genome multiple alignments

Graphylo: A deep learning approach for predicting regulatory DNA and RNA sites from whole-genome multiple alignments

Summary: This study focuses on enhancing the prediction of regulatory functional sites in DNA and RNA sequences, a crucial aspect of gene regulation. Current methods, such as motif overrepresentation and machine learning, often lack specificity. To address this issue, the study leverages evolutionar...

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Bibliographic Details
Main Authors: Dongjoon Lim, Changhyun Baek, Mathieu Blanchette
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:iScience
Subjects:
Phylogenetics
Gene network
Neural networks
Sequence homology
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004224002232

Internet

http://www.sciencedirect.com/science/article/pii/S2589004224002232

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