Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework

6mA-Finder: a novel online tool for predicting DNA N6-methyladenine sites in genomes

(2020) Haodong Xu et al.   BIOINFORMATICS

iMRM:a platform for simultaneously identifying multiple kinds of RNA modifications

(2020) Kewei Liu et al.   BIOINFORMATICS

Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening

(2020) Shaherin Basith et al.   MEDICINAL RESEARCH REVIEWS

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

6mA-RicePred: A Method for Identifying DNA N6-Methyladenine Sites in the Rice Genome Based on Feature Fusion

(2020) Qianfei Huang et al.   Frontiers in Plant Science

HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation

(2020) Md Mehedi Hasan et al.   BIOINFORMATICS

PASSION: an ensemble neural network approach for identifying the binding sites of RBPs on circRNAs

(2020) Cangzhi Jia et al.   BIOINFORMATICS

Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework

(2020) Fuyi Li et al.   BRIEFINGS IN BIOINFORMATICS

Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based features

(2020) Yi-Heng Zhu et al.   BRIEFINGS IN BIOINFORMATICS

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

(2019) Wei Chen et al.   BIOINFORMATICS

PreAIP: Computational Prediction of Anti-inflammatory Peptides by Integrating Multiple Complementary Features

(2019) Mst. Shamima Khatun et al.   Frontiers in Genetics

Iterative feature representations improve N4-methylcytosine site prediction

(2019) Leyi Wei et al.   BIOINFORMATICS

iRNAD: a computational tool for identifying D modification sites in RNA sequence

(2019) Zhao-Chun Xu et al.   BIOINFORMATICS

iDNA6mA (5-step rule): Identification of DNA N6-methyladenine sites in the rice genome by intelligent computational model via Chou's 5-step rule

(2019) Muhammad Tahir et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

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

DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites

(2019) Fuyi Li et al.   BIOINFORMATICS

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

(2019) Hao Lv et al.   Frontiers in Genetics

ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides

(2019) Bing Rao et al.   BRIEFINGS IN BIOINFORMATICS

Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences

(2019) Zhen Chen et al.   BRIEFINGS IN BIOINFORMATICS

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

4mCpred-EL: An Ensemble Learning Framework for Identification of DNA N4-methylcytosine Sites in the Mouse Genome

(2019) Manavalan et al.   Cells

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

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

DNA N 6 -Adenine Methylation in Arabidopsis thaliana

(2018) Zhe Liang et al.   DEVELOPMENTAL CELL

iDNA6mA-PseKNC: Identifying DNA N 6 -methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC

(2018) Pengmian Feng et al.   GENOMICS

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

(2018) Olivier Raymond et al.   NATURE GENETICS

RFAthM6A: a new tool for predicting m6A sites in Arabidopsis thaliana

(2018) Xiaofeng Wang et al.   PLANT MOLECULAR BIOLOGY

OUP accepted manuscript

(2018)   BRIEFINGS IN BIOINFORMATICS

Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework

(2018) Yanju Zhang et al.   BRIEFINGS IN BIOINFORMATICS

mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation

(2018) Balachandran Manavalan et al.   BIOINFORMATICS

PredGly: predicting lysine glycation sites for Homo sapiens based on XGboost feature optimization

(2018) Jialin Yu et al.   BIOINFORMATICS

DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest

(2017) Balachandran Manavalan et al.   Oncotarget

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

New Insights into 5hmC DNA Modification: Generation, Distribution and Function

(2017) Dong-Qiao Shi et al.   Frontiers in Genetics

MethSMRT: an integrative database for DNA N6-methyladenine and N4-methylcytosine generated by single-molecular real-time sequencing

(2016) Pohao Ye et al.   NUCLEIC ACIDS RESEARCH

Characterization of eukaryotic DNA N6-methyladenine by a highly sensitive restriction enzyme-assisted sequencing

(2016) Guan-Zheng Luo et al.   Nature Communications

PHYPred: a tool for identifying bacteriophage enzymes and hydrolases

(2016) Hui Ding et al.   VIROLOGICA SINICA

N6-Methyladenine DNA Modification in Drosophila

(2015) Guoqiang Zhang et al.   CELL

pLogo: a probabilistic approach to visualizing sequence motifs

(2013) Joseph P O'Shea et al.   NATURE METHODS

DNA methylation: roles in mammalian development

(2013) Zachary D. Smith et al.   NATURE REVIEWS GENETICS

Genome-wide mapping of methylated adenine residues in pathogenic Escherichia coli using single-molecule real-time sequencing

(2012) Gang Fang et al.   NATURE BIOTECHNOLOGY

Genomic N6-methyladenine determination by MEKC with LIF

(2010) Annette M. Krais et al.   ELECTROPHORESIS

Conservation and divergence of methylation patterning in plants and animals

(2010) S. Feng et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA