AIMC Topic: Sequence Analysis, DNA

Clear Filters Showing 41 to 50 of 269 articles

A Machine learning model for predicting sepsis based on an optimized assay for microbial cell-free DNA sequencing.

Clinica chimica acta; international journal of clinical chemistry May 4, 2024
OBJECTIVE: To integrate an enhanced molecular diagnostic technique to develop and validate a machine-learning model for diagnosing sepsis.
Prospective Studies Female Aged Humans Machine Learning Sepsis Sequence Analysis, DNA Cell-Free Nucleic Acids Male Middle Aged
View on PubMed DOI

A signal processing and deep learning framework for methylation detection using Oxford Nanopore sequencing.

Nature communications Feb 16, 2024
Oxford Nanopore sequencing can detect DNA methylations from ionic current signal of single molecules, offering a unique advantage over conventional methods. Additionally, adaptive sampling, a software-controlled enrichment method for targeted sequenc...
Nanopores Nanopore Sequencing Deep Learning DNA Methylation High-Throughput Nucleotide Sequencing Sequence Analysis, DNA
View on PubMed DOI

RUBICON: a framework for designing efficient deep learning-based genomic basecallers.

Genome biology Feb 16, 2024
Nanopore sequencing generates noisy electrical signals that need to be converted into a standard string of DNA nucleotide bases using a computational step called basecalling. The performance of basecalling has critical implications for all later step...
Deep Learning Genomics Nucleotides Nanopores Sequence Analysis, DNA DNA
View on PubMed DOI

MAC-ErrorReads: machine learning-assisted classifier for filtering erroneous NGS reads.

BMC bioinformatics Feb 7, 2024
BACKGROUND: The rapid advancement of next-generation sequencing (NGS) machines in terms of speed and affordability has led to the generation of a massive amount of biological data at the expense of data quality as errors become more prevalent. This i...
Artificial Intelligence Staphylococcus aureus Algorithms Bayes Theorem Escherichia coli High-Throughput Nucleotide Sequencing Sequence Analysis, DNA Machine Learning Arabidopsis Software
View on PubMed DOI

Performance analysis of conventional and AI-based variant callers using short and long reads.

BMC bioinformatics Dec 14, 2023
BACKGROUND: The accurate detection of variants is essential for genomics-based studies. Currently, there are various tools designed to detect genomic variants, however, it has always been a challenge to decide which tool to use, especially when vario...
High-Throughput Nucleotide Sequencing Genomics Sequence Analysis, DNA Artificial Intelligence Software
View on PubMed DOI

Improving Enhancer Identification with a Multi-Classifier Stacked Ensemble Model.

Journal of molecular biology Oct 16, 2023
Enhancers are DNA regions that are responsible for controlling the expression of genes. Enhancers are usually found upstream or downstream of a gene, or even inside a gene's intron region, but are normally located at a distant location from the genes...
Transcription Factors Sequence Analysis, DNA Enhancer Elements, Genetic DNA Machine Learning Computational Biology
View on PubMed DOI

Ultra-fast deep-learned CNS tumour classification during surgery.

Nature Oct 11, 2023
Central nervous system tumours represent one of the most lethal cancer types, particularly among children. Primary treatment includes neurosurgical resection of the tumour, in which a delicate balance must be struck between maximizing the extent of r...
Humans Child Sequence Analysis, DNA Intraoperative Care Central Nervous System Neoplasms Deep Learning Retrospective Studies Methylation Time Factors Clinical Decision-Making
View on PubMed DOI

Predicting pathogenic protein variants.

Science (New York, N.Y.) Sep 19, 2023
Machine-learning algorithm uses structure prediction to spot disease-causing mutations.
Mutation, Missense Mutant Proteins Machine Learning Genetic Variation Algorithms Protein Conformation Sequence Analysis, DNA Disease
View on PubMed DOI

Pharmacovariome scanning using whole pharmacogene resequencing coupled with deep computational analysis and machine learning for clinical pharmacogenomics.

Human genomics Jul 14, 2023
BACKGROUND: This pilot study aims to identify and functionally assess pharmacovariants in whole exome sequencing data. While detection of known variants has benefited from pharmacogenomic-dedicated bioinformatics tools before, in this paper we have t...
Sequence Analysis, DNA Machine Learning Pilot Projects Algorithms Pharmacogenetics Artificial Intelligence
View on PubMed DOI

ResMiCo: Increasing the quality of metagenome-assembled genomes with deep learning.

PLoS computational biology May 1, 2023
The number of published metagenome assemblies is rapidly growing due to advances in sequencing technologies. However, sequencing errors, variable coverage, repetitive genomic regions, and other factors can produce misassemblies, which are challenging...
Metagenomics Genomics Software Metagenome Sequence Analysis, DNA Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals