AIMC Topic: Sequence Analysis, DNA

Clear Filters Showing 11 to 20 of 274 articles

Geometric deep learning framework for de novo genome assembly.

Genome research Apr 14, 2025
The critical stage of every de novo genome assembler is identifying paths in assembly graphs that correspond to the reconstructed genomic sequences. The existing algorithmic methods struggle with this, primarily due to repetitive regions causing comp...
Humans Genomics Sequence Analysis, DNA Genome Software Algorithms Deep Learning
View on PubMed DOI

CNRein: an evolution-aware deep reinforcement learning algorithm for single-cell DNA copy number calling.

Genome biology Apr 7, 2025
Low-pass single-cell DNA sequencing technologies and algorithmic advancements have enabled haplotype-specific copy number calling on thousands of cells within tumors. However, measurement uncertainty may result in spurious CNAs inconsistent with real...
Ovarian Neoplasms Reinforcement Machine Learning Humans Algorithms Female Single-Cell Analysis Breast Neoplasms Sequence Analysis, DNA Deep Learning DNA Copy Number Variations
View on PubMed DOI

Machine Learning-Driven Quantum Sequencing of Natural and Chemically Modified DNA.

ACS applied materials & interfaces Mar 29, 2025
Simultaneous identification of natural and chemically modified DNA nucleotides at molecular resolution remains a pivotal challenge in genomic science. Despite significant advances in current sequencing technologies, the ability to identify subtle cha...
Machine Learning Nanopores Quantum Theory Nucleotides Graphite Sequence Analysis, DNA DNA
View on PubMed DOI

HybProm: An attention-assisted hybrid CNN-BiLSTM model for the interpretable prediction of DNA promoter.

Methods (San Diego, Calif.) Feb 8, 2025
Promoter prediction is essential for analyzing gene structures, understanding regulatory networks, transcription mechanisms, and precisely controlling gene expression. Recently, computational and deep learning methods for promoter prediction have gai...
Animals Deep Learning Mice Neural Networks, Computer Software DNA Promoter Regions, Genetic Computational Biology Escherichia coli Sequence Analysis, DNA Humans
View on PubMed DOI

Optimized convolutional neural network using African vulture optimization algorithm for the detection of exons.

Scientific reports Jan 30, 2025
The detection of exons is an important area of research in genomic sequence analysis. Many signal-processing methods have been established successfully for detecting the exons based on their periodicity property. However, some improvement is still re...
Humans Neural Networks, Computer Algorithms Convolutional Neural Networks Introns Exons Computational Biology Sequence Analysis, DNA
View on PubMed DOI

Gut microbial composition associated with risk of premature aging in women with Yin-deficiency constitution.

Frontiers in cellular and infection microbiology Jan 3, 2025
BACKGROUND: Yin-deficiency constitution (YinDC) refers to a traditional Chinese medicine concept, characterized by an imbalance state that includes an imbalance in the gut microbiota, resulting from a relative deficiency of Yin fluids within the body...
Dysbiosis Sequence Analysis, DNA Medicine, Chinese Traditional DNA, Ribosomal Feces Adult Humans Bacteria Gastrointestinal Microbiome Middle Aged Female DNA, Bacterial RNA, Ribosomal, 16S Cohort Studies Aging, Premature
View on PubMed DOI

DNA promoter task-oriented dictionary mining and prediction model based on natural language technology.

Scientific reports Jan 2, 2025
Promoters are essential DNA sequences that initiate transcription and regulate gene expression. Precisely identifying promoter sites is crucial for deciphering gene expression patterns and the roles of gene regulatory networks. Recent advancements in...
Data Mining Promoter Regions, Genetic Neural Networks, Computer Deep Learning Computational Biology Humans Sequence Analysis, DNA Natural Language Processing DNA
View on PubMed DOI

High-Risk Sequence Prediction Model in DNA Storage: The LQSF Method.

IEEE transactions on nanobioscience Jan 2, 2025
Traditional DNA storage technologies rely on passive filtering methods for error correction during synthesis and sequencing, which result in redundancy and inadequate error correction. Addressing this, the Low Quality Sequence Filter (LQSF) was intro...
Deep Learning Computational Biology Sequence Analysis, DNA DNA High-Throughput Nucleotide Sequencing Humans Neural Networks, Computer Algorithms
View on PubMed DOI

Optimizing sequence data analysis using convolution neural network for the prediction of CNV bait positions.

BMC bioinformatics Dec 24, 2024
BACKGROUND: Accurate prediction of copy number variations (CNVs) from targeted capture next-generation sequencing (NGS) data relies on effective normalization of read coverage profiles. The normalization process is particularly challenging due to hid...
Humans Exome Sequencing Sequence Analysis, DNA DNA Copy Number Variations High-Throughput Nucleotide Sequencing Neural Networks, Computer Data Analysis Algorithms
View on PubMed DOI

A sparse and wide neural network model for DNA sequences.

Neural networks : the official journal of the International Neural Network Society Dec 19, 2024
Accurate modeling of DNA sequences requires capturing distant semantic relationships between the nucleotide acid bases. Most existing deep neural network models face two challenges: (1) they are limited to short DNA fragments and cannot capture long-...
DNA Base Sequence Neural Networks, Computer Deep Learning Sequence Analysis, DNA Humans
View on PubMed DOI
Popular Topics
Recent Journals