bioinformatics papers | Gist.Science

Bioinformatics sits at the exciting intersection where biology meets data science, using powerful computer tools to decode the vast complexity of living systems. From mapping the human genome to tracking how viruses evolve, this field transforms raw biological information into actionable insights that drive modern medicine and research forward without requiring a supercomputer to understand the basics.

On Gist.Science, we ensure you never miss a breakthrough by processing every new preprint in this category directly from bioRxiv. Our team provides both plain-language explanations and detailed technical summaries for each paper, making cutting-edge discoveries accessible to everyone regardless of their background.

Below are the latest bioinformatics papers added from bioRxiv, ready for you to explore with clarity and depth.

💻 bioinformatics

BUDDY: An interactive web platform to accelerate the functional modeling of human missense variants using Saccharomyces cerevisiae orthologs

The authors present BUDDY, an interactive web platform that streamlines the functional modeling of human missense variants in *Saccharomyces cerevisiae* by integrating bioinformatic tools, structural visualization, and AI-assisted experimental design, thereby accelerating variant analysis and making it accessible to users without prior bioinformatics training.

Brown, M., Sriram, A., Garcia, J., Wasko, B. M.2026-10-23

💻 bioinformatics

Different, same, or arrhythmic: an empirically informed benchmark of differential rhythmicity methods

This paper presents a systematic benchmarking study of 12 differential rhythmicity methods using a synthetic RNA-seq model to provide practical guidelines for biologists to select the most appropriate tools for analyzing time-series transcriptomic data based on specific experimental conditions and analytical goals.

Ananthasubramaniam, B.2026-10-23

💻 bioinformatics

OmniRE-seq: A Dual-Method Framework for Decoding RNA Editing Dynamics in Disease and Therapy

OmniRE-seq is a dual-method framework that integrates bulk RE-seq and single-cell scRE-seq to provide a standardized, multi-resolution toolkit for quantifying, analyzing, and annotating RNA editing dynamics across diverse disease contexts and therapeutic interventions.

Hang, Y., Liu, H., Li, W., Liu, P., Yang, J., Zhao, Y.2026-10-23

💻 bioinformatics

CDSeq2 integrates individual-level cell-type expression deconvolution with recoverability-guided prioritization

CDSeq2 is a Bayesian framework that integrates reference-informed deconvolution with recoverability-guided prioritization to accurately estimate individual-level cell-type expression from bulk RNA-seq data, thereby enhancing the precision of downstream analyses such as cell-type-specific eQTL mapping.

Kang, K., Xie, K.2026-10-22

💻 bioinformatics

Population-scale drug target and variant prioritization with Varformer

Varformer is a novel multimodal transformer model that leverages positive-unlabeled learning and cross-modal attention to integrate variant and gene-level features, achieving state-of-the-art performance in prioritizing both drug targets and pathogenic variants across diverse genetic ancestry groups.

Wenteler, A., Neduva, V., Genes & Health Research Team,, Cabrera, C. P., Wei, W., Barnes, M. R.2026-10-22

💻 bioinformatics

Cell-level integration of gene expression and B cell receptor data captures complementary B cell information

This study demonstrates that integrating gene expression data with engineered B cell receptor features, rather than language-model embeddings, effectively captures complementary biological information while preserving cell type relationships and revealing robust B cell substructure.

Aron, E., Gabernet, G., Sabuwala, B., Yaari, G., Kleinstein, S.2026-10-22

💻 bioinformatics

General Purpose AI for Public Data Analysis and Experimental Hypothesis Generation

This paper demonstrates how general-purpose AI can extend experimental biology by generating and investigating testable hypotheses from public molecular datasets, while highlighting the critical distinction between identifying reproducible data patterns and establishing confirmed experimental or therapeutic effects.

Jin, G., Bao, X.2026-10-22

💻 bioinformatics

Pose: a pure-NumPy, chirality-aware, structural engine for building and manipulating the molecular structures of proteins, nucleic acids, and small organic molecules

Pose is a lightweight, pure-NumPy Python library that provides a unified, chirality-aware framework for building and manipulating protein, nucleic acid, and small molecule structures while accurately implementing multiple force fields and scoring functions with performance comparable to established tools like OpenMM, PyRosetta, and AutoDock Vina.

Sabban, S. S.2026-10-22

💻 bioinformatics

Using Arabian Sea Coastal Water as a Model to Study Plasmid-mediated AMR Dissemination driven by Anthropogenic Impacts

This study utilizes Mumbai's Arabian Sea coastal waters as a model to demonstrate how rapid urbanization drives the accumulation of diverse plasmid-mediated antimicrobial resistance genes, including novel plasmid-borne mupirocin resistance, creating a significant reservoir for global AMR dissemination.

Ghadigaonkar, D., Rath, D., Rath, A.2026-10-22✓ Author reviewed ⓘ

💻 bioinformatics

A prediction-interval framework for identifying outlier control cohorts in lifespan studies

By analyzing 18 years of data from the National Institute on Aging Interventions Testing Program, this study establishes a standardized prediction-interval framework to distinguish natural lifespan variation from experimental anomalies, revealing that accounting for such variability can alter the statistical significance of intervention results.

Maeyens, L. T., Luciano, A., Nelson, J. F., Churchill, G. A.2026-10-22

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