AIMC Topic: 5-Methylcytosine

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Sequence based model using deep neural network and hybrid features for identification of 5-hydroxymethylcytosine modification.

Scientific reports Apr 20, 2024
RNA modifications are pivotal in the development of newly synthesized structures, showcasing a vast array of alterations across various RNA classes. Among these, 5-hydroxymethylcytosine (5HMC) stands out, playing a crucial role in gene regulation and...
RNA 5-Methylcytosine Support Vector Machine Bayes Theorem Neural Networks, Computer Algorithms
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iRNA5hmC-HOC: High-order correlation information for identifying RNA 5-hydroxymethylcytosine modification.

Journal of bioinformatics and computational biology Aug 3, 2022
RNA 5-hydroxymethylcytosine (5 hmC) is an important RNA modification, which plays vital role in several biological processes. Currently, it is a hot topic to identify 5 hmC sites due to its benefit in understanding its biological functions. Therefore...
Software Algorithms Support Vector Machine RNA 5-Methylcytosine
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An Extensive Examination of Discovering 5-Methylcytosine Sites in Genome-Wide DNA Promoters Using Machine Learning Based Approaches.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2022
It is well-known that the major reason for the rapid proliferation of cancer cells are the hypomethylation of the whole cancer genome and the hypermethylation of the promoter of particular tumor suppressor genes. Locating 5-methylcytosine (5mC) sites...
Machine Learning DNA Methylation DNA Promoter Regions, Genetic 5-Methylcytosine
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BiLSTM-5mC: A Bidirectional Long Short-Term Memory-Based Approach for Predicting 5-Methylcytosine Sites in Genome-Wide DNA Promoters.

Molecules (Basel, Switzerland) Dec 7, 2021
An important reason of cancer proliferation is the change in DNA methylation patterns, characterized by the localized hypermethylation of the promoters of tumor-suppressor genes together with an overall decrease in the level of 5-methylcytosine (5mC)...
Promoter Regions, Genetic 5-Methylcytosine Aging Neoplasms DNA Methylation DNA Deep Learning Humans Neural Networks, Computer
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m5CPred-SVM: a novel method for predicting m5C sites of RNA.

BMC bioinformatics Oct 30, 2020
BACKGROUND: As one of the most common post-transcriptional modifications (PTCM) in RNA, 5-cytosine-methylation plays important roles in many biological functions such as RNA metabolism and cell fate decision. Through accurate identification of 5-meth...
Arabidopsis 5-Methylcytosine Mice Humans Animals Internet Support Vector Machine ROC Curve RNA Base Sequence
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Identifying 5-methylcytosine sites in RNA sequence using composite encoding feature into Chou's PseKNC.

Journal of theoretical biology May 1, 2018
This study examines accurate and efficient computational method for identification of 5-methylcytosine sites in RNA modification. The occurrence of 5-methylcytosine (mC) plays a vital role in a number of biological processes. For better comprehension...
Amino Acid Sequence Humans Models, Theoretical Base Sequence RNA Algorithms 5-Methylcytosine Support Vector Machine Proteins Amino Acids High-Throughput Nucleotide Sequencing
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Accurate RNA 5-methylcytosine site prediction based on heuristic physical-chemical properties reduction and classifier ensemble.

Analytical biochemistry Apr 9, 2018
RNA 5-methylcytosine (mC) is an important post-transcriptional modification that plays an indispensable role in biological processes. The accurate identification of mC sites from primary RNA sequences is especially useful for deeply understanding the...
5-Methylcytosine Sequence Analysis, RNA Machine Learning RNA Software
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Deep5hmC: predicting genome-wide 5-hydroxymethylcytosine landscape via a multimodal deep learning model.

Bioinformatics (Oxford, England) Sep 2, 2024
MOTIVATION: 5-Hydroxymethylcytosine (5hmC), a crucial epigenetic mark with a significant role in regulating tissue-specific gene expression, is essential for understanding the dynamic functions of the human genome. Despite its importance, predicting ...
Humans DNA Methylation Genome, Human 5-Methylcytosine Deep Learning Epigenesis, Genetic
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R5hmCFDV: computational identification of RNA 5-hydroxymethylcytosine based on deep feature fusion and deep voting.

Briefings in bioinformatics Sep 20, 2022
RNA 5-hydroxymethylcytosine (5hmC) is a kind of RNA modification, which is related to the life activities of many organisms. Studying its distribution is very important to reveal its biological function. Previously, high-throughput sequencing was use...
Nucleotides Neural Networks, Computer 5-Methylcytosine RNA Machine Learning
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DeepMRMP: A new predictor for multiple types of RNA modification sites using deep learning.

Mathematical biosciences and engineering : MBE Jul 4, 2019
RNA modification plays an indispensable role in the regulation of organisms. RNA modification site prediction offers an insight into diverse cellular processing. Regarding different types of RNA modification site prediction, it is difficult to tell t...
RNA Saccharomyces cerevisiae Adenosine 5-Methylcytosine Species Specificity Mice Computational Biology Humans Animals Machine Learning Deep Learning Algorithms RNA Processing, Post-Transcriptional Pseudouridine
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