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

Cadence: A Benchmark Evaluation of the Narrative Velocity Framework for Next Clinical Event Prediction in MIMIC-IV

This study introduces the Cadence model, a Narrative Velocity framework utilizing self-distilled PubMedBERT embeddings within a residual MLP, which demonstrates statistically significant improvements in next clinical event prediction accuracy and time-to-event regression over strong baselines on the MIMIC-IV dataset while highlighting specific calibration and generalization challenges.

Rouhollahi, A., Nezami, F. R.2026-05-11

💻 bioinformatics

Benchmarking long-read simulators against Oxford Nanopore whole-genome sequencing data

This study benchmarks six Oxford Nanopore read simulators against R10.4.1 data, finding that while PBSIM3 excels at replicating general read-level properties, no tool fully captures the complex error profiles of real data, suggesting that the optimal choice depends on whether read-level realism or specific error structures are more critical for a given application.

Taouk, M. L., Ingle, D. J., Wick, R. R.2026-05-11

💻 bioinformatics

Nanopore event detection in a simple and adaptive way

This paper presents and validates a simple, fast, and adaptable cluster-based event detection (CBED) algorithm that outperforms existing schemes in efficiency and noise reduction for biological nanopore data while highlighting the necessity of adaptive baseline correction for solid-state nanopore data.

Wei, P., Kansari, M., Mierzejewski, M., Ensslen, T., Lin, C.-Y., Kavetsky, K., Jones, P. D., Behrends, J. C., Drndic, M. (…)2026-05-11

💻 bioinformatics

Investigation of Protein Melting Temperature Prediction with Cross-Method Validation on Biophysical Data

This study introduces TmProt 1.0, a fine-tuned ESM-2 embedding model that outperforms existing state-of-the-art predictors in identifying thermostable proteins across heterogeneous biophysical datasets, addressing the critical challenge of cross-domain generalization in protein melting temperature prediction.

Pailozian, K., Kohout, P., Damborsky, J., Mazurenko, S.2026-05-11

💻 bioinformatics

The Second Brain: Diffusion Models for Realistic Human Microbiome Generation

This paper introduces a diffusion-based generative model with sparsity-preserving mechanisms that achieves parametric-level sparsity preservation and competitive ecological distance metrics for human microbiome data, representing the first deep learning approach to match such sparsity fidelity while remaining competitive on standard ecological benchmarks.

Yee, B., Fu, J.2026-05-11

💻 bioinformatics

conMItion: an R package adjusting confounding factors for associations in multi-omics

The paper introduces conMItion, an R package that utilizes conditional mutual information to robustly adjust for confounding factors like tumor purity and mutation burden in multi-omics association analyses, thereby improving the accuracy of identifying cancer-related genes and cellular interactions.

Wang, G., Liu, F., Chen, Z., Davoli, T.2026-05-11

💻 bioinformatics

Haplotype-resolved diploid genome inference on pangenome graphs

The paper introduces DipGenie, a scalable tool that jointly optimizes genotyping and phasing on pangenome graphs using a biologically motivated recombination budget, achieving significantly lower switch error rates and higher structural variant F1-scores compared to existing graph-based methods.

Chandra, G., Doan, W. T., Gibney, D.2026-05-10

💻 bioinformatics

WSInsight: a cloud-native, agent-callable platform for single-cell whole-slide pathology

WSInsight is an open, cloud-native platform that enables scalable, agent-callable single-cell phenotyping of whole-slide H&E images from diverse storage sources, delivering validated, standards-compliant outputs for translational tumor microenvironment research.

Huang, C. H., Awosika, O. E., Fernandez, D.2026-05-10

💻 bioinformatics

LIVIA: a browser-based tool for assessing and visualizing predicted protein interactions

LIVIA is a freely available, browser-based tool that locally computes local confidence metrics, identifies interface residues, and visualizes predicted protein-protein interactions across multiple platforms using an interactive 3D viewer and exportable scripts for ChimeraX and PyMOL.

Kim, A.-R., Perrimon, N.2026-05-10

💻 bioinformatics

Machine learning cross-platform proteomic imputation enables protein quality scoring and replication of epidemiological associations

This study develops a machine learning framework to impute cross-platform proteomic data between SomaScan and Olink, thereby resolving persistent non-replication issues, enabling the recovery of platform-exclusive signals, and establishing a protein fidelity index to enhance the reliability of epidemiological biomarker discovery.

Li, L., Alaa, A., Tan, Y., Demirel, I., Friedman, S., Zha, Q., Trac, R. P., Taylor, K. D., Yu, B., Ballantyne, C. M., De (…)2026-05-09

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