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784 results

Full text 2026

Transcriptional and epigenetic regulation of Ca<sup>2+</sup>-signaling genes in hepatitis B-derived hepatocellular carcinoma and their association with the cancer hallmarks

Hernández-Martínez G, Hernández-Oliveras A, Zarain-Herzberg Á, et al.

<h4>Motivation</h4>Dysregulation of Ca<sup>2+</sup>-signaling genes has been shown in some types of cancer; however, it is virtually unknown in hepatitis B-derived hepatocellular carcinoma (HBV-HCC). Here, we evaluate the transcriptional and epigenetic regulation of Ca<sup>2+</sup>-signaling genes in …

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Epigenetics Transcriptomics
Full text 2025

SHICEDO: single-cell Hi-C data enhancement with reduced over-smoothing

Huang J, Ma R, Strobel M, et al.

<h4>Motivation</h4>Single-cell Hi-C (scHi-C) technologies have significantly advanced our understanding of the 3D genome organization. However, scHi-C data are often sparse and noisy, leading to substantial computational challenges in downstream analyses.<h4>Results</h4>In this study, we introduce SHICEDO, …

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Epigenetics Single-Cell
Full text 2026

MoAGNN: a multi-omics hierarchical graph neural network for subtype classification and prognosis prediction in lung adenocarcinoma

Lin CP, Ho YJ, Chiu YP, et al.

Lung adenocarcinoma (LUAD), the most common subtype of nonsmall cell lung cancer, exhibits substantial molecular heterogeneity, complicating subtype classification, progression assessment, and treatment decision-making. Advances in high-throughput sequencing enable multi-omics analysis to reveal cancer mechanisms …

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Epigenetics Structural Variants Transcriptomics
Full text 2026

Unsupervised synchronization of molecular dynamics trajectories via graph embedding and time warping

Mangoni M, Bianco SD, Petrizzelli F, et al.

<h4>Motivation</h4>Molecular dynamics (MD) simulations provide detailed atomistic insights into biomolecular processes, but comparing independent trajectories remains challenging due to stochastic divergence. Misaligned simulations can obscure shared mechanisms or exaggerate differences, limiting reproducibility and mechanistic interpretation. …

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Epigenetics
Full text 2026

CIRCE: a scalable Python package to predict cis-regulatory DNA interactions from single-cell chromatin accessibility data

Trimbour R, Saez-Rodriguez J, Cantini L.

<h4>Motivation</h4>Chromatin 3D folding creates numerous DNA interactions, participating in gene expression regulation. Single-cell chromatin-accessibility assays now profile hundreds of thousands of cells, challenging existing methods for mapping cis-regulatory interactions.<h4>Results</h4>We present CIRCE, a fast and scalable …

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Epigenetics Single-Cell Workflows & Pipelines
Full text 2025

Chrom-Sig: de-noising 1D genomic profiles by signal processing methods

Gupta NJ, Apell Z, Kim M.

<h4>Motivation</h4>Modern genomic research is driven by next-generation sequencing experiments such as ChIP-seq, CUT&Tag, and CUT&RUN that generate coverage files for transcription factor binding, as well as ATAC-seq that yield coverage files for chromatin accessibility. Due …

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Epigenetics
Full text 2026

Mamba6mA: a Mamba-based DNA N6-methyladenine site prediction model

Zhao Q, Zhang Z, Chen T, et al.

<h4>Motivation</h4>N6-methyladenine (6 mA) is an important epigenetic modification of DNA that regulates biological processes such as gene expression, transcription, replication, DNA repair, and cell cycle without altering the DNA sequence. It also plays a key …

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Epigenetics
Full text 2025

Implementation of multi-omics in diagnosis of pediatric rare diseases

Ali SS, Li Q, Agrawal PB.

The rapid and accurate diagnosis of rare diseases is paramount in directing clinical management. In recent years, the integration of multi-omics approaches has emerged as a potential strategy to overcome diagnostic hurdles. This review examines …

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Epigenetics Transcriptomics
Full text 2025

Epigenomic Transcriptome Regulation of Growth and Development and Stress Response in Cucurbitaceae Plants: The Role of RNA Methylation

Yu G, Wang Z, Jia L, et al.

RNA methylation, particularly N6-methyladenosine (m<sup>6</sup>A) and 5-methylcytosine (m<sup>5</sup>C), functions as a pivotal post-transcriptional regulatory mechanism and plays a central role in plant growth, development, and stress responses. This review provides a systematic summary of recent …

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Epigenetics Transcriptomics