AIMC Topic: DNA, Bacterial

Clear Filters Showing 11 to 20 of 36 articles

Machine learning based DNA melt curve profiling enables automated novel genotype detection.

BMC bioinformatics May 10, 2024
Surveillance for genetic variation of microbial pathogens, both within and among species, plays an important role in informing research, diagnostic, prevention, and treatment activities for disease control. However, large-scale systematic screening f...
Algorithms Genotype DNA, Bacterial Nucleic Acid Denaturation Machine Learning
View on PubMed DOI

NGS read classification using AI.

PloS one Dec 22, 2021
Clinical metagenomics is a powerful diagnostic tool, as it offers an open view into all DNA in a patient's sample. This allows the detection of pathogens that would slip through the cracks of classical specific assays. However, due to this unspecific...
Humans Neural Networks, Computer DNA, Bacterial DNA, Viral DNA High-Throughput Nucleotide Sequencing Algorithms Animals Bacteria Metagenomics Viruses Metagenome
View on PubMed DOI

SquiggleNet: real-time, direct classification of nanopore signals.

Genome biology Oct 27, 2021
We present SquiggleNet, the first deep-learning model that can classify nanopore reads directly from their electrical signals. SquiggleNet operates faster than DNA passes through the pore, allowing real-time classification and read ejection. Using 1 ...
DNA, Bacterial Long Interspersed Nucleotide Elements Respiratory System Humans Deep Learning Metagenome Nanopore Sequencing
View on PubMed DOI

A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction.

IEEE/ACM transactions on computational biology and bioinformatics Oct 7, 2021
Multi-drug resistance (MDR) has become one of the greatest threats to human health worldwide, and novel treatment methods of infections caused by MDR bacteria are urgently needed. Phage therapy is a promising alternative to solve this problem, to whi...
Bacteriophages Bacteria Computational Biology DNA, Bacterial Algorithms DNA, Viral Drug Resistance, Bacterial Sequence Analysis, DNA Deep Learning Microbial Interactions
View on PubMed DOI

pcPromoter-CNN: A CNN-Based Prediction and Classification of Promoters.

Genes Dec 21, 2020
A promoter is a small region within the DNA structure that has an important role in initiating transcription of a specific gene in the genome. Different types of promoters are recognized by their different functions. Due to the importance of promoter...
Escherichia coli K12 Datasets as Topic Classification Promoter Regions, Genetic Neural Networks, Computer DNA, Bacterial Models, Genetic Genes, Bacterial
View on PubMed DOI

SAPPHIRE: a neural network based classifier for σ70 promoter prediction in Pseudomonas.

BMC bioinformatics Sep 22, 2020
BACKGROUND: In silico promoter prediction represents an important challenge in bioinformatics as it provides a first-line approach to identifying regulatory elements to support wet-lab experiments. Historically, available promoter prediction software...
Sigma Factor Pseudomonas Computational Biology DNA, Bacterial Promoter Regions, Genetic Neural Networks, Computer Software
View on PubMed DOI

Detection of carbapenem-resistant Klebsiella pneumoniae on the basis of matrix-assisted laser desorption ionization time-of-flight mass spectrometry by using supervised machine learning approach.

PloS one Feb 6, 2020
BACKGROUND: Carbapenem-resistant Klebsiella pneumoniae (CRKP) is emerging as a significant pathogen causing healthcare-associated infections. Matrix-assisted laser desorption/ionisation mass spectrometry time-of-flight mass spectrometry (MALDI-TOF MS...
DNA, Bacterial Klebsiella Infections Predictive Value of Tests Supervised Machine Learning Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Carbapenems Anti-Bacterial Agents Microbial Sensitivity Tests Klebsiella pneumoniae Humans Algorithms Cross Infection Carbapenem-Resistant Enterobacteriaceae Random Amplified Polymorphic DNA Technique
View on PubMed DOI

VAMPr: VAriant Mapping and Prediction of antibiotic resistance via explainable features and machine learning.

PLoS computational biology Jan 13, 2020
Antimicrobial resistance (AMR) is an increasing threat to public health. Current methods of determining AMR rely on inefficient phenotypic approaches, and there remains incomplete understanding of AMR mechanisms for many pathogen-antimicrobial combin...
Chromosome Mapping Anti-Bacterial Agents Bacteria DNA, Bacterial Whole Genome Sequencing Genome, Bacterial Machine Learning Models, Statistical Software Drug Resistance, Microbial Algorithms
View on PubMed DOI

Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems.

Scientific reports Oct 18, 2019
Deep learning (DL) neural networks have only recently been employed to interpret chest radiography (CXR) to screen and triage people for pulmonary tuberculosis (TB). No published studies have compared multiple DL systems and populations. We conducted...
DNA, Bacterial Mass Screening Humans Nucleic Acid Amplification Techniques Mycobacterium tuberculosis Middle Aged Retrospective Studies Nepal Data Accuracy Female Deep Learning Triage Radiography, Thoracic Cameroon Adult Area Under Curve Sensitivity and Specificity Tuberculosis, Pulmonary Male
View on PubMed DOI

Bacterial classification with convolutional neural networks based on different data reduction layers.

Nucleosides, nucleotides & nucleic acids Aug 16, 2019
For high accuracy classification of DNA sequences through Convolutional Neural Networks (CNNs), it is essential to use an efficient sequence representation that can accelerate similarity comparison between DNA sequences. In addition, CNN networks can...
Base Sequence Firmicutes Neural Networks, Computer Proteobacteria DNA, Bacterial Actinobacteria
View on PubMed DOI
Popular Topics
Recent Journals