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Full text 2026

Elucidating the Epigenetic Landscape of Type 2 Diabetes Mellitus: A Multi-Omics Analysis Revealing Novel CpG Sites and Their Association with Cardiometabolic Traits

Chung RH, Wang CC, Onthoni DD, et al.

<h4>Backgruound</h4>Type 2 diabetes mellitus (T2DM) is a complex, multifactorial disease with a significant global burden. Although genome-wide association studies (GWAS) have identified many T2DM-associated variants, most lie in non-coding regions, making it difficult to interpret …

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Epigenetics
Full text 2025

The evolution and application of multi-omic analysis for pituitary neuroendocrine tumors

Pugazenthi S, Pari SS, Zhang Z, et al.

Pituitary neuroendocrine tumors (PitNETs) are a heterogeneous group of intracranial neoplasms that vary in hormonal activity, histological features, and clinical behavior. The rise of high-throughput sequencing and molecular profiling technologies has enabled multiomic approaches-including genomics, …

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Epigenetics Transcriptomics
Full text 2026

Artificial intelligence-enabled multi-omics biomarkers for immune checkpoint blockade: mechanisms, predictive modeling, and clinical translation

Wang X, Xiong D, Cui S, et al.

Immune checkpoint inhibitors (ICIs) have transformed oncology, yet durable benefit remains confined to a minority of patients, revealing the limitations of single biomarkers such as PD-L1 expression, tumor mutational burden, and microsatellite instability. Multi-omics profiling, …

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Epigenetics Metagenomics Single-Cell
Full text 2025

BTS: a scalable Bayesian Tissue Score for prioritizing GWAS variants and their functional contexts across &gt;1000s of omics datasets

Kuksa PP, Ionita M, Carter L, et al.

<h4>Motivation</h4>statistics from genome-wide association studies (GWAS) are widely used in fine-mapping and colocalization analyses to identify causal variants and their enrichment in functional contexts, such as affected cell types and genomic features. With the expansion …

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Bioinformatics Epigenetics
Full text 2025

Artificial Intelligence-Driven Multi-Omics Approaches in Glioblastoma

Morello G, La Cognata V, Guarnaccia M, et al.

Glioblastoma (GBM) is the most common and aggressive primary brain tumor in adults. It is characterized by a high degree of heterogeneity, meaning that although these tumors may appear morphologically similar, they often exhibit distinct …

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Epigenetics Transcriptomics
Full text 2025

Integrating Artificial Intelligence in Next-Generation Sequencing: Advances, Challenges, and Future Directions

Athanasopoulou K, Michalopoulou VI, Scorilas A, et al.

The integration of artificial intelligence (AI) into next-generation sequencing (NGS) has revolutionized genomics, offering unprecedented advancements in data analysis, accuracy, and scalability. This review explores the synergistic relationship between AI and NGS, highlighting its transformative …

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Basecalling Bioinformatics Epigenetics
Full text 2024

Epigenomics coverage data extraction and aggregation in R with tidyCoverage

Serizay J, Koszul R.

<h4>Summary</h4>The tidyCoverage R package provides a framework for intuitive investigation of collections of genomic tracks over genomic features, relying on the principle of tidy data manipulation. It defines two data structures, CoverageExperiment and AggregatedCoverage classes, …

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Bioinformatics Epigenetics
Full text 2025

Single-cell epigenetics and multiomics analysis in kidney research

Aihara S, Muto Y.

The rapid evolution of single-cell sequencing technologies has significantly advanced our knowledge of cellular heterogeneity and the underlying molecular basis in healthy and diseased kidneys. While single-cell transcriptomic analysis excels in characterizing cell states in …

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Epigenetics Single-Cell Transcriptomics
Full text 2025

Immigrant status and citizenship relationships with epigenetic aging in a representative sample of United States adults

Nwanaji-Enwerem JC, Rodriguez Espinosa P, Khodasevich D, et al.

<h4>Background</h4>Immigrant status and citizenship influence health and well-being, yet their associations with DNA methylation (DNAm)-based biomarkers of aging - key predictors of healthspan and lifespan, also known as epigenetic aging - remain underexplored.<h4>Methods</h4>Using a representative …

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Epigenetics