AIMC Topic: Nanopores

Clear Filters Showing 31 to 40 of 46 articles

Recognition Tunneling of Canonical and Modified RNA Nucleotides for Their Identification with the Aid of Machine Learning.

ACS nano Jun 28, 2018
In the present study, we demonstrate a tunneling nanogap technique to identify individual RNA nucleotides, which can be used as a mechanism to read the nucleobases for direct sequencing of RNA in a solid-state nanopore. The tunneling nanogap is compo...
Nanopores Microscopy, Scanning Tunneling Nucleotides RNA Surface Properties Molecular Structure Nanotechnology Machine Learning Particle Size
View on PubMed DOI

Synthetic Ion Channels and DNA Logic Gates as Components of Molecular Robots.

Chemphyschem : a European journal of chemical physics and physical chemistry Dec 8, 2017
A molecular robot is a next-generation biochemical machine that imitates the actions of microorganisms. It is made of biomaterials such as DNA, proteins, and lipids. Three prerequisites have been proposed for the construction of such a robot: sensors...
Robotics DNA Valinomycin Humans Lipid Bilayers Ion Channels Aptamers, Nucleotide Neoplasms Nanopores MicroRNAs
View on PubMed DOI

DeepNano: Deep recurrent neural networks for base calling in MinION nanopore reads.

PloS one Jun 5, 2017
The MinION device by Oxford Nanopore produces very long reads (reads over 100 kBp were reported); however it suffers from high sequencing error rate. We present an open-source DNA base caller based on deep recurrent neural networks and show that the ...
High-Throughput Nucleotide Sequencing Datasets as Topic Klebsiella pneumoniae Nanopores Escherichia coli Neural Networks, Computer Sequence Analysis, DNA Software
View on PubMed DOI

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 Zeolites Membranes, Artificial Nanopores Urease Saliva Dental Caries
View on PubMed DOI

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...
Nanopores Nanopore Sequencing High-Throughput Nucleotide Sequencing Protein Isoforms Machine Learning Computational Biology Software Sequence Analysis, RNA Humans Transcriptome
View on PubMed DOI

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...
Nanopores Nanopore Sequencing Neural Networks, Computer Sequence Analysis, DNA Cluster Analysis DNA DNA Methylation Humans
View on PubMed DOI

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 Software Transcriptome Computational Biology RNA, Messenger Sequence Analysis, RNA Deep Learning RNA-Seq Nanopores Nanopore Sequencing Epigenesis, Genetic Adenosine
View on PubMed DOI

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...
Nanopores Nanopore Sequencing Gene Library Genome, Bacterial Humans Deep Learning
View on PubMed DOI

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...
Deep Learning Nanopores Sequence Analysis, DNA Humans DNA, Mitochondrial High-Throughput Nucleotide Sequencing
View on PubMed DOI

Deep learning identifies A-to-I RNA edits using nanopore sequencing data.

Nature methods Jul 1, 2022
High-Throughput Nucleotide Sequencing Nanopores Nanopore Sequencing Deep Learning RNA
View on PubMed DOI
Popular Topics
Recent Journals