4mC-CGRU: Identification of N4-Methylcytosine (4mC) sites using convolution gated recurrent unit in Rosaceae genome

Mouse4mC-BGRU: Deep learning for predicting DNA N4-methylcytosine sites in mouse genome

(2022) Junru Jin et al.   METHODS

DNA sequences performs as natural language processing by exploiting deep learning algorithm for the identification of N4-methylcytosine

(2021) Abdul Wahab et al.   Scientific Reports

iRG-4mC: Neural Network Based Tool for Identification of DNA 4mC Sites in Rosaceae Genome

(2021) Dae Yeong Lim et al.   Symmetry-Basel

Intelligent and robust computational prediction model for DNA N4-methylcytosine sites via natural language processing

(2021) Muhammd Tahir et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

A Deep Neural Network for Identifying DNA N4-Methylcytosine Sites

(2020) Feng Zeng et al.   Frontiers in Genetics

Deep4mC: systematic assessment and computational prediction for DNA N4-methylcytosine sites by deep learning

(2020) Haodong Xu et al.   BRIEFINGS IN BIOINFORMATICS

DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites

(2020) Quanzhong Liu et al.   BRIEFINGS IN BIOINFORMATICS

DNC4mC-Deep: Identification and Analysis of DNA N4-Methylcytosine Sites Based on Different Encoding Schemes By Using Deep Learning

(2020) Abdul Wahab et al.   Cells

Accurate prediction of DNA N4-methylcytosine sites via boost-learning various types of sequence features

(2020) Zhixun Zhao et al.   BMC GENOMICS

Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation

(2019) Balachandran Manavalan et al.   Molecular Therapy-Nucleic Acids

MDR: an integrative DNA N6-methyladenine and N4-methylcytosine modification database for Rosaceae

(2019) Zhao-Yu Liu et al.   Horticulture Research

i4mC-ROSE, a bioinformatics tool for the identification of DNA N4-methylcytosine sites in the Rosaceae genome

(2019) Md. Mehedi Hasan et al.   INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES

DNA N 6 -Adenine Methylation in Arabidopsis thaliana

(2018) Zhe Liang et al.   DEVELOPMENTAL CELL

The Rosa genome provides new insights into the domestication of modern roses

(2018) Olivier Raymond et al.   NATURE GENETICS

Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species

(2018) Leyi Wei et al.   BIOINFORMATICS

Single-molecule sequencing and optical mapping yields an improved genome of woodland strawberry (Fragaria vesca) with chromosome-scale contiguity

(2017) Patrick P Edger et al.   GigaScience

The Epigenomic Landscape of Prokaryotes

(2016) Matthew J. Blow et al.   PLoS Genetics

An Adenine Code for DNA: A Second Life for N6-Methyladenine

(2015) Holger Heyn et al.   CELL

N6-Methyldeoxyadenosine Marks Active Transcription Start Sites in Chlamydomonas

(2015) Ye Fu et al.   CELL

DNA methylation and epigenomics: new technologies and emerging concepts

(2015) Aniruddha Chatterjee et al.   GENOME BIOLOGY

Exploring genome wide bisulfite sequencing for DNA methylation analysis in livestock: a technical assessment

(2014) Rachael Doherty et al.   Frontiers in Genetics

Cytosine modifications in neurodevelopment and diseases

(2013) Bing Yao et al.   CELLULAR AND MOLECULAR LIFE SCIENCES

Direct detection of DNA methylation during single-molecule, real-time sequencing

(2010) Benjamin A Flusberg et al.   NATURE METHODS

Epigenetics: A Molecular Link Between Environmental Factors and Type 2 Diabetes

(2009) Charlotte Ling et al.   DIABETES

Bacterial genetics: past achievements, present state of the field, and future challenges

(2008) Herbert P. Schweizer   BIOTECHNIQUES

DNA methylation landscapes: provocative insights from epigenomics

(2008) Miho M. Suzuki et al.   NATURE REVIEWS GENETICS