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Related Experiment Video

Updated: Jul 27, 2025

Associated Chromosome Trap for Identifying Long-range DNA Interactions

Associated Chromosome Trap for Identifying Long-range DNA Interactions

Published on: April 23, 2011

i4mC-GRU: Identifying DNA N

Thanh-Hoang Nguyen-Vo^1,2, Quang H Trinh³, Loc Nguyen¹

¹School of Mathematics and Statistics, Victoria University of Wellington, Wellington 6140, New Zealand.

Computational and Structural Biotechnology Journal

|June 5, 2023

Summary

This summary is machine-generated.

We developed i4mC-GRU, a computational tool to predict N4-methylcytosine (4mC) sites in mouse genomes. This method accurately identifies 4mC locations, aiding in understanding biological pathways.

Keywords:

Bidirectional gated recurrent unit DNA Deep learning Epigenetics N4-methylcytosine Sequence-embedded features

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Published on: June 19, 2015

Area of Science:

Genomics
Epigenetics
Bioinformatics

Background:

N4-methylcytosine (4mC) is a prevalent DNA modification in prokaryotic and eukaryotic genomes.
Identifying 4mC sites is crucial for uncovering physiological and pathological mechanisms.

Purpose of the Study:

To develop an effective computational method for predicting 4mC sites in mouse genomes.
To evaluate the proposed method against existing state-of-the-art approaches.

Main Methods:

Utilized a gated recurrent unit (GRU) and duplet sequence-embedded features.
Developed the i4mC-GRU computational tool.
Compared performance on two benchmark datasets.

Main Results:

i4mC-GRU achieved high performance, with Area Under the ROC Curve (AUC) of 0.97 and 0.89.
Achieved Area Under the Precision-Recall Curve (AUPRC) of 0.98 and 0.90.
Outperformed existing methods in predicting 4mC sites.

Conclusions:

i4mC-GRU is a highly effective tool for 4mC site prediction in mouse genomes.
The method offers significant improvements over current approaches.
An online web server was deployed to support genomics research.