Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species

i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation

(2020) Md. Mehedi Hasan et al.   PLANT MOLECULAR BIOLOGY

i6mA-Pred: Identifying DNA N6-methyladenine sites in the rice genome

(2019) Wei Chen et al.   BIOINFORMATICS

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

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

iDNA6mA-Rice: A Computational Tool for Detecting N6-Methyladenine Sites in Rice

(2019) Hao Lv et al.   Frontiers in Genetics

csDMA: an improved bioinformatics tool for identifying DNA 6 mA modifications via Chou’s 5-step rule

(2019) Ze Liu et al.   Scientific Reports

i6mA-DNCP: Computational Identification of DNA N6-Methyladenine Sites in the Rice Genome Using Optimized Dinucleotide-Based Features

(2019) Liang Kong et al.   Genes

SNNRice6mA: A Deep Learning Method for Predicting DNA N6-Methyladenine Sites in Rice Genome

(2019) Haitao Yu et al.   Frontiers in Genetics

SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome

(2019) Shaherin Basith et al.   Molecular Therapy-Nucleic Acids

N 6 -Methyladenine DNA Modification in the Human Genome

(2018) Chuan-Le Xiao et al.   MOLECULAR CELL

Long-Term Recurrent Convolutional Networks for Visual Recognition and Description

(2017) Jeff Donahue et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks

(2016) David R. Kelley et al.   GENOME RESEARCH

OAHG: an integrated resource for annotating human genes with multi-level ontologies

(2016) Liang Cheng et al.   Scientific Reports

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

(2015) Holger Heyn et al.   CELL

DNA Methylation on N6-Adenine in C. elegans

(2015) Eric Lieberman Greer et al.   CELL

N6-Methyldeoxyadenosine Marks Active Transcription Start Sites in Chlamydomonas

(2015) Ye Fu et al.   CELL

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

(2015) Babak Alipanahi et al.   NATURE BIOTECHNOLOGY

Predicting effects of noncoding variants with deep learning–based sequence model

(2015) Jian Zhou et al.   NATURE METHODS

Identification of methylated deoxyadenosines in vertebrates reveals diversity in DNA modifications

(2015) Magdalena J Koziol et al.   NATURE STRUCTURAL & MOLECULAR BIOLOGY

Identification of methylated deoxyadenosines in vertebrates reveals diversity in DNA modifications

(2015) Magdalena J Koziol et al.   NATURE STRUCTURAL & MOLECULAR BIOLOGY

Examination of the relationship between essential genes in PPI network and hub proteins in reverse nearest neighbor topology

(2010) Kang Ning et al.   BMC BIOINFORMATICS

Genomic N6-methyladenine determination by MEKC with LIF

(2010) Annette M. Krais et al.   ELECTROPHORESIS

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

(2010) Benjamin A Flusberg et al.   NATURE METHODS

Genome-wide high throughput analysis of DNA methylation in eukaryotes

(2008) Kyle R. Pomraning et al.   METHODS