iRNA-m5U: A sequence based predictor for identifying 5-methyluridine modification sites in Saccharomyces cerevisiae

DM3Loc: multi-label mRNA subcellular localization prediction and analysis based on multi-head self-attention mechanism

(2021) Duolin Wang et al.   NUCLEIC ACIDS RESEARCH

L1 retrotransposons exploit RNA m6A modification as an evolutionary driving force

(2021) Sung-Yeon Hwang et al.   Nature Communications

Emerging role of RNA modification N6-methyladenosine in immune evasion

(2021) Xin Lou et al.   Cell Death & Disease

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

(2020) Kewei Liu et al.   BIOINFORMATICS

RF-PseU: A Random Forest Predictor for RNA Pseudouridine Sites

(2020) Zhibin Lv et al.   Frontiers in Bioengineering and Biotechnology

PIANO: A Web Server for Pseudouridine-Site (Ψ) Identification and Functional Annotation

(2020) Bowen Song et al.   Frontiers in Genetics

m5UPred: a web server for the prediction of RNA 5-methyluridine (m5U) sites from sequences

(2020) Jie Jiang et al.   Molecular Therapy-Nucleic Acids

Identification of sub-Golgi protein localization by use of deep representation learning features

(2020) Zhibin Lv et al.   BIOINFORMATICS

WHISTLE: a high-accuracy map of the human N6-methyladenosine (m6A) epitranscriptome predicted using a machine learning approach

(2019) Kunqi Chen et al.   NUCLEIC ACIDS RESEARCH

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

(2019) Zhao-Chun Xu et al.   BIOINFORMATICS

RNA modifications regulating cell fate in cancer

(2019) Sylvain Delaunay et al.   NATURE CELL BIOLOGY

MD-LBP: An Efficient Computational Model for Protein Subcellular Localization from HeLa Cell Lines using SVM

(2019) Muhammad Tahir et al.   Current Bioinformatics

FICC-Seq: a method for enzyme-specified profiling of methyl-5-uridine in cellular RNA

(2019) Jean-Michel Carter et al.   NUCLEIC ACIDS RESEARCH

XG-PseU: an eXtreme Gradient Boosting based method for identifying pseudouridine sites

(2019) Kewei Liu et al.   MOLECULAR GENETICS AND GENOMICS

iATP: A sequence based method for identifying anti-tubercular peptides

(2019) Wei Chen et al.   Medicinal Chemistry

Accurate detection of m6A RNA modifications in native RNA sequences

(2019) Huanle Liu et al.   Nature Communications

iRNA-m7G: Identifying N7-methylguanosine Sites by Fusing Multiple Features

(2019) Wei Chen et al.   Molecular Therapy-Nucleic Acids

Pseudouridylation of tRNA-Derived Fragments Steers Translational Control in Stem Cells

(2018) Nicola Guzzi et al.   CELL

Sequence-Based Structural B-cell Epitope Prediction by Using Two Layer SVM Model and Association Rule Features

(2018) Jehn-Hwa Kuo et al.   Current Bioinformatics

Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA

(2018) Quan Zou et al.   RNA

RMBase v2.0: deciphering the map of RNA modifications from epitranscriptome sequencing data

(2017) Jia-Jia Xuan et al.   NUCLEIC ACIDS RESEARCH

The RNA modification landscape in human disease

(2017) Nicky Jonkhout et al.   RNA

iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC

(2017) Pengmian Feng et al.   Molecular Therapy-Nucleic Acids

The dynamic N1-methyladenosine methylome in eukaryotic messenger RNA

(2016) Dan Dominissini et al.   NATURE

SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features

(2016) Yuan Zhou et al.   NUCLEIC ACIDS RESEARCH

iRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition

(2015) Wei Chen et al.   ANALYTICAL BIOCHEMISTRY

N6-methyladenosine-dependent regulation of messenger RNA stability

(2013) Xiao Wang et al.   NATURE

Transcriptome-Wide Mapping of 5-methylcytidine RNA Modifications in Bacteria, Archaea, and Yeast Reveals m5C within Archaeal mRNAs

(2013) Sarit Edelheit et al.   PLoS Genetics

CD-HIT: accelerated for clustering the next-generation sequencing data

(2012) Limin Fu et al.   BIOINFORMATICS

Structure of a TrmA-RNA complex: A consensus RNA fold contributes to substrate selectivity and catalysis in m5U methyltransferases

(2008) A. Alian et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA