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References from Domain-knowledge enabled ensemble learning of 5-formylcytosine (f5C) modification sites. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1038/s41568-020-0253-2
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Synthesis and investigation of the 5-formylcytidine modified, anticodon stem and loop of the human mitochondrial tRNAMet
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Mitochondrial RNA modifications shape metabolic plasticity in metastasis
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MODOMICS: an operational guide to the use of the RNA modification pathways database
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Unresolved reference
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Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences
2019 · External reference
MODOMICS: a database of RNA modification pathways. 2017 update
10.1093/nar/gkx1030 · 2018 · External reference
10.1093/nar/gkx934
10.1093/nar/gkx934 · External reference
ConsRM: Collection and large-scale prediction of the evolutionarily conserved RNA methylation sites, with implications for the functional epitranscriptome
2021 · External reference
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RMDisease V2.0: an updated database of genetic variants that affect RNA modifications with disease and trait implication
2022 · External reference
10.1093/nar/gkaa811
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iRNAm5C-PseDNC: identifying RNA 5-methylcytosine sites by incorporating physical-chemical properties into pseudo dinucleotide composition
10.18632/oncotarget.17104 · 2017 · External reference
iRNA-m2G: Identifying N(2)-methylguanosine sites based on sequence-derived information.
10.1016/j.omtn.2019.08.023 · 2019 · External reference
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10.1093/bioinformatics/bty421 · 2018 · External reference
m6A-Maize: Weakly supervised prediction of m(6)A-carrying transcripts and m(6)A-affecting mutations in maize (Zea mays)
2021 · External reference
Deep and accurate detection of m6A RNA modifications using miCLIP2 and m6Aboost machine learning
10.1093/nar/gkab485 · 2021 · External reference
Modeling multi-species RNA modification through multi-task curriculum learning
10.1093/nar/gkab124 · 2021 · External reference
Pseudouridine Identification and Functional Annotation with PIANO
10.1007/978-1-0716-2962-8_11 · 2023 · External reference
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Integration of clinicopathologic identification and deep transferrable image feature representation improves predictions of lymph node metastasis in prostate cancer
2021 · External reference
10.1016/j.ab.2018.09.002
10.1016/j.ab.2018.09.002 · External reference
Detecting N(6)-methyladenosine sites from RNA transcriptomes using ensemble Support Vector Machines
10.1038/srep40242 · 2017 · External reference
Identifying N(6)-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machine
10.1038/srep46757 · 2017 · External reference
RNAMethPre: a web server for the prediction and query of mRNA m6A Sites
10.1371/journal.pone.0162707 · 2016 · External reference
10.1016/j.omtn.2018.03.012
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10.1016/j.ab.2015.12.017
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TargetM6A: Identifying N(6)-methyladenosine sites from RNA sequences via position-specific nucleotide propensities and a support vector machine
10.1109/tnb.2016.2599115 · 2016 · External reference
AthMethPre: a web server for the prediction and query of mRNA m(6)A sites in Arabidopsis thaliana
10.1039/c6mb00536e · 2016 · External reference
10.1016/j.jtbi.2018.07.018
10.1016/j.jtbi.2018.07.018 · External reference
RNA-MethylPred: a high-accuracy predictor to identify N6-methyladenosine in RNA
10.1016/j.ab.2016.06.012 · 2016 · External reference
m6A-TCPred: a web server to predict tissue-conserved human m6A sites using machine learning approach
10.1186/s12859-024-05738-1 · 2024 · External reference
SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features
10.1093/nar/gkw104 · 2016 · External reference
10.1016/j.omtn.2019.10.001
10.1016/j.omtn.2019.10.001 · External reference
Imbalance learning for the prediction of N(6)-Methylation sites in mRNAs.
10.1186/s12864-018-4928-y · 2018 · External reference
10.1016/j.csbj.2020.04.015 · Admitted local publication
RAMPred: identifying the N1-methyladenosine sites in eukaryotic transcriptomes
2016 · External reference
RNAm5CPred: prediction of RNA 5-methylcytosine sites based on three different kinds of nucleotide composition
10.1016/j.omtn.2019.10.008 · 2019 · External reference
m7GHub V2.0: an updated database for decoding the N7-methylguanosine (m7G) epitranscriptome
10.1093/nar/gkad789 · 2024 · External reference
10.1261/rna.069112.118
10.1261/rna.069112.118 · External reference
10.1093/bib/bbz112
10.1093/bib/bbz112 · External reference
Weakly supervised learning of RNA modifications from low-resolution epitranscriptome data
2021 · External reference
m6A-TSHub: unveiling the context-specific m(6)A methylation and m6A-affecting mutations in 23 human tissues
2022 · External reference
Multi-task adaptive pooling enabled synergetic learning of RNA modification across tissue, type and species from low-resolution epitranscriptomes
10.1093/bib/bbad105 · 2023 · External reference
10.1261/rna.069112.118
10.1261/rna.069112.118 · External reference
Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely occurring RNA modifications
10.1038/s41467-021-24313-3 · 2021 · External reference
WHISTLE: a high-accuracy map of the human N6-methyladenosine (m6A) epitranscriptome predicted using a machine learning approach
10.1093/nar/gkz074 · 2019 · External reference
10.1093/nar/gkac830
10.1093/nar/gkac830 · External reference
MVIL6: accurate identification of IL-6-induced peptides using multi-view feature learning
10.1016/j.ijbiomac.2023.125412 · 2023 · External reference
4mCBERT: a computing tool for the identification of DNA N4-methylcytosine sites by sequence- and chemical-derived information based on ensemble learning strategies
10.1016/j.ijbiomac.2023.123180 · 2023 · External reference
Multi-perspective neural network for dual drug repurposing in Alzheimer’s disease
10.1016/j.knosys.2023.111195 · 2024 · External reference
10.1016/j.csbj.2023.09.036 · Admitted local publication
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XG-PseU: an eXtreme gradient boosting based method for identifying pseudouridine sites
10.1007/s00438-019-01600-9 · 2020 · External reference
10.1089/cmb.2018.0004
10.1089/cmb.2018.0004 · External reference
5-methylcytosine promotes mRNA export - NSUN2 as the methyltransferase and ALYREF as an m(5)C reader
10.1038/cr.2017.55 · 2017 · External reference
iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties
10.1093/bioinformatics/btx479 · 2017 · External reference
WHISTLE server: a high-accuracy genomic coordinate-based machine learning platform for RNA modification prediction
2021 · External reference
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Unresolved reference
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Character-level language modeling with deeper self-attention
2019 · External reference
10.18653/v1/n19-1313
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10.18653/v1/p19-1285 · 2019 · External reference
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2014 · External reference
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10.3115/v1/d14-1179
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10.1093/nar/gkac830
10.1093/nar/gkac830 · External reference
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10.1038/s42256-019-0138-9 · 2020 · External reference
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10.1002/ijch.202300111
10.1002/ijch.202300111 · External reference
