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References from i4mC-Mouse: Improved identification of DNA N4-methylcytosine sites in the mouse genome using multiple encoding schemes. Local targets link to admitted publications; unresolved targets remain external evidence.
Selective recognition of N4-methylcytosine in DNA by engineered transcription-activator-like effectors
2018 · External reference
10.1016/j.tibs.2014.05.002
10.1016/j.tibs.2014.05.002 · External reference
10.1371/journal.pgen.1002781
10.1371/journal.pgen.1002781 · External reference
10.1038/nrg2341
10.1038/nrg2341 · External reference
10.1038/nrg3230
10.1038/nrg3230 · External reference
10.2337/db09-1003
10.2337/db09-1003 · External reference
Exploring genome wide bisulfite sequencing for DNA methylation analysis in livestock: a technical assessment
10.3389/fgene.2014.00126 · 2014 · External reference
10.1038/nmeth.1459
10.1038/nmeth.1459 · External reference
10.1146/annurev-phyto-080508-081936
10.1146/annurev-phyto-080508-081936 · External reference
10.1007/s10541-005-0178-0
10.1007/s10541-005-0178-0 · External reference
4mCpred-EL: an ensemble learning framework for identification of DNA N(4)-methylcytosine sites in the mouse genome
10.3390/cells8111332 · 2019 · External reference
4mCPred: machine learning methods for DNA N4-methylcytosine sites prediction
10.1093/bioinformatics/bty668 · 2019 · External reference
10.1093/nar/gkw950
10.1093/nar/gkw950 · External reference
Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species
10.1093/bioinformatics/bty824 · 2019 · External reference
i4mC-ROSE, a bioinformatics tool for the identification of DNA N4-methylcytosine sites in the Rosaceae genome
2019 · External reference
iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties
10.1093/bioinformatics/btx479 · 2017 · External reference
10.1093/bioinformatics/bts565
10.1093/bioinformatics/bts565 · External reference
iRNAD: a computational tool for identifying D modification sites in RNA sequence
2019 · External reference
10.1089/cmb.2018.0004
10.1089/cmb.2018.0004 · External reference
Meta-4mCpred: a sequence-based meta-predictor for accurate DNA 4mC site prediction using effective feature representation
10.1016/j.omtn.2019.04.019 · 2019 · External reference
DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest
10.18632/oncotarget.23099 · 2018 · External reference
A comparison and assessment of computational method for identifying recombination hotspots in Saccharomyces cerevisiae
2019 · External reference
10.1093/nar/gkw104
10.1093/nar/gkw104 · External reference
Computational identification of protein S-sulfenylation sites by incorporating the multiple sequence features information
10.1039/c7mb00491e · 2017 · External reference
SuccinSite: a computational tool for the prediction of protein succinylation sites by exploiting the amino acid patterns and properties
10.1039/c5mb00853k · 2016 · External reference
PreAIP: computational prediction of anti-inflammatory peptides by integrating multiple complementary features
2019 · External reference
i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation
2020 · External reference
Evaluation of different computational methods on 5-methylcytosine sites identification
2019 · External reference
A coding measure scheme employing electron-ion interaction pseudopotential (EIIP)
2006 · External reference
iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators
10.1093/bioinformatics/bty827 · 2019 · External reference
Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection technique
10.1093/bioinformatics/bty943 · 2019 · External reference
Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy
10.1109/tpami.2005.159 · 2005 · External reference
Wiener: classification and regression by random forest
2002 · External reference
mACPpred: a support vector machine-based meta-predictor for identification of anticancer peptides
10.3390/ijms20081964 · 2019 · External reference
PIP-EL: a new ensemble learning method for improved proinflammatory peptide predictions
10.3389/fimmu.2018.01783 · 2018 · External reference
mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation
2018 · External reference
10.1371/journal.pone.0129635
10.1371/journal.pone.0129635 · External reference
Efficient computational model for identification of antitubercular peptides by integrating amino acid patterns and properties
10.1002/1873-3468.13536 · 2019 · External reference
Large-scale assessment of bioinformatics tools for lysine succinylation sites
10.3390/cells8020095 · 2019 · External reference
ACPred: a computational tool for the prediction and analysis of anticancer peptides
10.3390/molecules24101973 · 2019 · External reference
Computational identification of microbial phosphorylation sites by the enhanced characteristics of sequence information
10.1038/s41598-019-44548-x · 2019 · External reference
Naive Bayes classifier with feature selection to identify phage virion proteins
2013 · External reference
iProEP: a computational predictor for predicting promoter
10.1016/j.omtn.2019.05.028 · 2019 · External reference
10.1016/j.csbj.2019.06.024
10.1016/j.csbj.2019.06.024 · External reference
Prediction of S-nitrosylation sites by integrating support vector machines and random forest
10.1039/c9mo00098d · 2019 · External reference
iBitter-SCM: identification and characterization of bitter peptides using a scoring card method with propensity scores of dipeptides
10.1016/j.ygeno.2020.03.019 · 2020 · External reference
10.1016/j.compbiolchem.2019.05.008
10.1016/j.compbiolchem.2019.05.008 · External reference
PAAP: a web server for predicting antihypertensive activity of peptides
10.4155/fmc-2017-0300 · 2018 · External reference
A brief survey of machine learning methods in protein sub-Golgi localization
10.2174/1574893613666181113131415 · 2019 · External reference
PHYPred: a tool for identifying bacteriophage enzymes and hydrolases
10.1007/s12250-016-3740-6 · 2016 · External reference
Machine intelligence in peptide therapeutics: a next-generation tool for rapid disease screening
2020 · External reference
HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation
2020 · External reference
10.1038/nmeth.2646
10.1038/nmeth.2646 · External reference
Two “students” of science
10.1542/peds.2005-1134 · 2005 · External reference
A deep neural network for identifying DNA N4-methylcytosine sites
10.3389/fgene.2020.00209 · 2020 · External reference
iDNA-MS: an integrated computational tool for detecting DNA modification sites in multiple genomes
10.1016/j.isci.2020.100991 · 2020 · External reference
