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Full text 2026

Vibe Coding Omics Data Analysis Applications

Meyer JG.

Building custom data analysis platforms has traditionally required extensive software engineering expertise, limiting access for many researchers. Here, I demonstrate that modern large language models (LLMs) and autonomous coding agents can dramatically lower this barrier …

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Bioinformatics
Full text 2026

Integrating Imaging-Derived Clinical Endotypes with Plasma Proteomics and External Polygenic Risk Scores Enhances Coronary Microvascular Disease Risk Prediction

Venkatesh R, Cherlin T, BioBank PM, et al.

Coronary microvascular disease (CMVD) is an underdiagnosed but significant contributor to the burden of ischemic heart disease, characterized by angina and myocardial infarction. The development of risk prediction models such as polygenic risk scores (PRS) …

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Bioinformatics
Full text 2026

Multiomics characterization of acute child illness and mortality in Africa and South Asia

Espinosa CA, Njunge JM, Tickell KD, et al.

Childhood illnesses from infectious diseases in low- and middle-income countries contribute substantially to the global under-five mortality. Many hospitalized children experience incomplete recovery, readmission, and post-discharge mortality despite guideline-directed care. However, targeted interventions remain elusive …

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Metagenomics
Full text 2026

BDDN: bayesian dynamic differential network analysis in cancer proteomics

Kim J, Lee D, Park J, et al.

MOTIVATION: Cancer progression and treatment responses are governed by intricate and dynamic molecular interactions. Although differential network analysis offers considerable potential for identifying condition-specific changes in protein-protein interactions, existing methods primarily rely on static comparisons …

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Bioinformatics
Full text 2026

Non-Enzymatic MGO-Glycation of SRSF2 Drives RNA Mis-Splicing

Xiao Y, Dozic AV, Deplus R, et al.

Methylglyoxal (MGO) is a reactive metabolic byproduct of glycolysis shown to accumulate in highly glycolytic cells such as cancer cells. MGO reacts with proteins to form covalent adducts in a process termed glycation, and MGO-glycation …

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Epigenetics
Full text 2026

Comparative Analysis of Lysine-Specific Peptidases for Optimizing Proteomics Workflows

van der Hoeven LR, Lechner M, Hernandez-Rollan C, et al.

This study presents a comparative analysis of three LysC endopeptidase homologues from <i>Achromobacter lyticus</i> (<i>A. lyticus</i>),<i>Pseudomonas aeruginosa</i> and <i>Lysobacter enzymogenes</i> for mass spectrometry-based proteomics. Utilizing a protein aggregation capture workflow with HeLa cell lysates, we …

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Bioinformatics
Full text 2026

Evaluating and Optimizing Mass Spectrometry Proteomics Data to Deconvolve Cell-Type-Specific Protein Expression in Tumors

Song Y, Zhou Q, Huang C.

Understanding intratumoral heterogeneity is essential for elucidating tumor biology. Compared to RNA expression, omics-level characterization of cell-type-specific protein expression remains a technical challenge. Bulk mass spectrometry (MS) provides abundant proteomics resources to infer cell-type specificity …

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Bioinformatics
Full text 2026

Plasma-targeted proteomic and lipidomic profiling of MASLD, MASH, and hepatitis C virus infection

Tokuoka SM, Hamano F, Kobayashi A, et al.

<h4>Background</h4>Metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH) are chronic liver diseases characterized by lipid accumulation and persistent inflammation, often progressing to fibrosis or hepatocellular carcinoma (HCC). Hepatitis C virus (HCV) infection …

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Bioinformatics