AIMC Topic: High-Throughput Nucleotide Sequencing

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Advancements in DNA methylation technologies and their application in cancer diagnosis.

Epigenetics
DNA methylation is a common epigenetic modification that maintains the integrity of the DNA sequence while profoundly influencing gene expression and phenotypic variation. Aberrant DNA methylation has been associated with the onset and progression of...

Nanopore full length 16S rRNA gene sequencing increases species resolution in bacterial biomarker discovery.

Scientific reports
Discovery of disease-related bacterial biomarkers could be a useful approach for early prevention or diagnosis of various afflictions, such as colorectal cancer. This typically involves analyzing small regions of the 16S rRNA gene (e.g. V3V4) through...

Distribution patterns of N6-methyladenine in the rye genome.

Scientific reports
N6-methyladenine (6 mA) has emerged as a potential epigenetic marker in eukaryotic genomes, yet its precise distribution patterns and biological functions in plant genomes are still not fully understood. In this study, we investigated the occurrence,...

Advancing fungal phylogenetics: integrating modern sequencing, dark taxa discovery, and machine learning.

Archives of microbiology
The study of fungal genetics has undergone transformative advancements in recent decades, profoundly reshaping our understanding of fungal diversity, evolution, and pathogenesis. This review synthesizes cutting-edge molecular techniques revolutionizi...

GAINSeq: glaucoma pre-symptomatic detection using machine learning models driven by next-generation sequencing data.

Scientific reports
Congenital glaucoma, a complex and diverse condition, presents considerable difficulties in its identification and categorization. This research used Next Generation Sequencing (NGS) whole-exome data to create a categorization framework using machine...

Lineage-specific regulatory evolution: insights from massively parallel reporter assays.

Current opinion in genetics & development
Lineage-specific genetic variants play a key role in evolutionary divergence, particularly through changes in cis-regulatory elements that fine-tune gene expression. Massively parallel reporter assays (MPRAs) provide a powerful approach to characteri...

Enhancing R-loop prediction with high-throughput sequencing data.

NAR genomics and bioinformatics
R-loops are three-stranded RNA and DNA hybrid structures that often occur in the genome and play important roles in a variety of cellular processes from bacteria to mammals. Sequencing methods profiling R-loops genome-wide have revealed that they can...

Discovery and affinity maturation of antibody fragments from an unfavorably enriched phage display selection by deep sequencing and machine learning.

Journal of bioscience and bioengineering
Phage display selection has been used for directed evolution of antibody fragments. However, variants with binding affinity cannot be always identified due to undesirable enrichment of target-unrelated variants in the biopanning process. Here, our go...

AI-Driven Biomarker Discovery and Personalized Allergy Treatment: Utilizing Machine Learning and NGS.

Current allergy and asthma reports
PURPOSE OF REVIEW: This review explores the transformative potential of artificial intelligence (AI) and next-generation sequencing (NGS) in allergy diagnostics and treatment. It focuses on leveraging these technologies to enhance precision in biomar...