AIMC Topic: Nanopores

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Predictive Analysis of Dental Caries Risk via Rapid Urease Activity Evaluation in Saliva Using a ZIF-8 Nanoporous Membrane.

ACS sensors Jun 27, 2025
Despite a decrease in the incidence of dental caries over the past four decades, it remains a widespread public health concern. The multifactorial etiology of dental caries complicates effective prevention and early intervention efforts, underscoring...
Humans Dental Caries Zeolites Membranes, Artificial Nanopores Urease Saliva
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Enhancing novel isoform discovery: leveraging nanopore long-read sequencing and machine learning approaches.

Briefings in functional genomics Dec 6, 2024
Long-read sequencing technologies can capture entire RNA transcripts in a single sequencing read, reducing the ambiguity in constructing and quantifying transcript models in comparison to more common and earlier methods, such as short-read sequencing...
Nanopore Sequencing Protein Isoforms Nanopores Software Transcriptome Sequence Analysis, RNA High-Throughput Nucleotide Sequencing Computational Biology Humans Machine Learning
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Precision DNA methylation typing via hierarchical clustering of Nanopore current signals and attention-based neural network.

Briefings in bioinformatics Sep 23, 2024
Decoding DNA methylation sites through nanopore sequencing has emerged as a cutting-edge technology in the field of DNA methylation research, as it enables direct sequencing of native DNA molecules without the need for prior enzymatic or chemical tre...
Cluster Analysis DNA Nanopore Sequencing Nanopores Sequence Analysis, DNA DNA Methylation Humans Neural Networks, Computer
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m6ATM: a deep learning framework for demystifying the m6A epitranscriptome with Nanopore long-read RNA-seq data.

Briefings in bioinformatics Sep 23, 2024
N6-methyladenosine (m6A) is one of the most abundant and well-known modifications in messenger RNAs since its discovery in the 1970s. Recent studies have demonstrated that m6A is involved in various biological processes, such as alternative splicing ...
Humans Nanopores Nanopore Sequencing Deep Learning RNA-Seq Software Transcriptome Computational Biology RNA, Messenger Sequence Analysis, RNA Epigenesis, Genetic Adenosine
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NanoDeep: a deep learning framework for nanopore adaptive sampling on microbial sequencing.

Briefings in bioinformatics Nov 22, 2023
Nanopore sequencers can enrich or deplete the targeted DNA molecules in a library by reversing the voltage across individual nanopores. However, it requires substantial computational resources to achieve rapid operations in parallel at read-time sequ...
Deep Learning Gene Library Nanopores Nanopore Sequencing Genome, Bacterial Humans
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Adaptive sequencing using nanopores and deep learning of mitochondrial DNA.

Briefings in bioinformatics Jul 18, 2022
Nanopore sequencing is an emerging technology that reads DNA by utilizing a unique method of detecting nucleic acid sequences and identifies the various chemical modifications they carry. Deep learning has increased in popularity as a useful techniqu...
DNA, Mitochondrial High-Throughput Nucleotide Sequencing Nanopores Deep Learning Sequence Analysis, DNA Humans
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Deep learning identifies A-to-I RNA edits using nanopore sequencing data.

Nature methods Jul 1, 2022
Deep Learning RNA Nanopore Sequencing High-Throughput Nucleotide Sequencing Nanopores
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S2Snet: deep learning for low molecular weight RNA identification with nanopore.

Briefings in bioinformatics May 13, 2022
Ribonucleic acid (RNA) is a pivotal nucleic acid that plays a crucial role in regulating many biological activities. Recently, one study utilized a machine learning algorithm to automatically classify RNA structural events generated by a Mycobacteriu...
Nanopores Plant Extracts RNA Molecular Weight Deep Learning
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[Unsupervised deep learning for identifying the O -carboxymethyl guanine by nanopore sequencing].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Feb 25, 2022
O -carboxymethyl guanine(O -CMG) is a highly mutagenic alkylation product of DNA that causes gastrointestinal cancer in organisms. Existing studies used mutant porin A (MspA) nanopore assisted by Phi29 DNA polymerase to localize it. Recently, machi...
Nanopore Sequencing Porins Deep Learning Nanopores Guanine
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DeepMP: a deep learning tool to detect DNA base modifications on Nanopore sequencing data.

Bioinformatics (Oxford, England) Feb 7, 2022
MOTIVATION: DNA methylation plays a key role in a variety of biological processes. Recently, Nanopore long-read sequencing has enabled direct detection of these modifications. As a consequence, a range of computational methods have been developed to ...
High-Throughput Nucleotide Sequencing Nanopores Sequence Analysis, DNA DNA Nanopore Sequencing Humans Deep Learning Escherichia coli Software
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