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Full text 2026

Beyond Resistance Genes: Silencing Susceptibility

Silva A, Fernando WGD.

The ongoing evolutionary struggle between crops and pathogens has highlighted the limitations of resistance gene (<i>R</i> gene)-based control, which often fails due to rapid pathogen adaptation. To address this, we must look beyond R genes …

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Bioinformatics
Full text 2026

Artemisinin-Related Therapeutic Strategies for Autoimmune Thyroiditis: Chemokine-Receptor Networks, Spatial Thyroid Biology, and Molecular Mechanisms

Sun Y, Yang X, Zhu Q, et al.

Autoimmune thyroiditis (AIT) is a chronic immune-mediated thyroid disorder characterized by lymphocytic infiltration, follicular epithelial injury, autoantibody production, and variable progression to thyroid dysfunction. Because current management is largely supportive or replacement based, there is …

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Bioinformatics
Full text 2026

Multimodal bioinformatic analyses of genome-scale expression beyond gene-centric differential expression

Nuanpirom J, Charoensawan V.

Genome-scale gene expression analysis has become a standard approach for discovering biomarkers and understanding molecular mechanisms. Recent advances in omics technologies now enable investigations beyond conventional case-control comparison and standard gene-centric differential expression (DE) analyses. …

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Bioinformatics Single-Cell Transcriptomics
Full text 2026

An intelligent framework for advancing large-scale omics data integration

Cui M, Wang S, Yang F, et al.

Clinical and biological insights from large-scale omics data are often limited by technical variability and analytical complexity. Here, we present BioinAI, a comprehensive framework that integrates an intelligent system with two algorithms, DeepAdvancer and stNiche, …

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Bioinformatics
Full text 2026

SpaFun: discovering domain-specific spatial expression patterns and new disease-relevant genes using functional principal component analysis

Jiang X, Guo Y, Guo L, et al.

SpaFun is a novel, non-model-based method developed to address limitations in existing spatially variable gene detection techniques, particularly for large-scale spatially resolved transcriptomics datasets. These limitations include computational inefficiency, limited statistical power with increasing data …

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Bioinformatics Transcriptomics
Full text 2026

DeepSpaceDB: a spatial transcriptomics atlas for interactive in-depth analysis of tissues and tissue microenvironments

Honcharuk V, Zainab A, Horimoto Y, et al.

Spatial transcriptomics enables detailed mapping of gene expression within tissues, revealing spatial organization of cellular and molecular processes. However, generating such data is costly and technically challenging, and analysis requires advanced bioinformatics skills. Although public …

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Bioinformatics Single-Cell Transcriptomics
Full text 2026

Eigenlipids for exploring lipid biology

Sing N, Smith AAT, Dakic A, et al.

Lipidomics involves the analysis of hundreds or even thousands of lipids within biological systems. Many of these lipids are highly correlated due to similarities in structure or relationships within metabolic pathways. Eigenlipids, as a concept …

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Bioinformatics Transcriptomics