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363,000+ bioRxiv and medRxiv preprints, including those later published in peer-reviewed journals, across 26 biological disciplines.
Recent preprints
- BioinformaticsbioRxivPreprintDOI 10.64898/2026.10.03.756403
- BioinformaticsbioRxivPreprint
Cross-Dataset Reanalysis of Mouse Alzheimer Disease Single-Cell RNA-Sequencing Data Reveals a Reproducible Innate Immune Activation Signature
Aryan Anand, Elamathi Natarajan
The paper reanalyzes six mouse AD scRNA-seq datasets to identify a reproducible innate immune activation signature across studies.
- BioinformaticsbioRxivPreprint
YGEP: An Integrated Web Platform for Genomic Evaluation and Intelligent Breeding in Yak
Yuanyuan Yu, Zemin Li, Xinru Shan…·Jiabo Wang
YGEP provides a cloud platform for genomic evaluation and breeding in yaks, integrating pedigree reconstruction, genotype imputation, and genomic breeding value estimation with high accuracy.
DOI 10.64898/2026.09.29.755494 - BioinformaticsbioRxivPreprint
Refining Protein Co-Membership in Reactome: A Weighted Scoring Approach Based on Hierarchy and Sequences of Patwhays
Cécile Beust, Olivier Dameron, Nathalie Théret, E. Becker
The paper introduces a weighted pathway co-membership method for Reactome pathways, improving gene prioritization in cancer hallmarks by incorporating biological distances and hierarchical structure.
DOI 10.64898/2026.09.30.755656 - BioinformaticsbioRxivPreprint
Toward a Transferable Representation of Protein Dynamics for Functional Prediction and Mechanistic Discovery
Nahid Monowar, Proff. Lutfi Habiba
This paper introduces TIDGN, a deep learning method to encode protein dynamics into a transferable latent representation, achieving high AUROC in function prediction across different proteins.
DOI 10.64898/2026.10.02.756378 - BioinformaticsPLoS Computational BiologyPeer-reviewed
CardamomOT: a mechanistic optimal transport-based framework for gene regulatory network inference, trajectory reconstruction and generative modeling
CardamomOT improves gene regulatory network inference and trajectory reconstruction by integrating mechanistic models with optimal transport, using exact time labels and reducing hyperparameters.
1 citation - BioinformaticsbioRxivPreprint
ASTRA enables zero-shot super-resolution of spatial transcriptomics across capture geometries
ASTRA enables zero-shot super-resolution of spatial transcriptomics across different capture geometries, improving accuracy and efficiency compared to existing methods.
DOI 10.64898/2026.09.30.755663 - BioinformaticsPLoS Computational BiologyPeer-reviewed
Spatial Transcriptomics As Rasterized Image Tensors (STARIT) characterizes cell states with subcellular molecular heterogeneity
Dee Velazquez, Caleb Hallinan, Roujin An…·Jean Fan
STARIT converts spatial transcriptomics data into image tensors for deep learning analysis, enabling subcellular heterogeneity-based cell state identification.
DOI 10.1371/journal.pcbi.1014845 - BioinformaticsbioRxivPreprint
Deep Learning-Meets-Active Surfaces: A Unified Framework for Multi-Object Segmentation and Shape Analysis in 3D Fluorescence Microscopy
Quentin Rapilly, Anaïs Badoual, You-Hsuan Liu, Charles Kervrann A
This paper introduces Nagini3D, a 3D image segmentation method combining deep learning and active surfaces for improved shape analysis and consistency across 3D volumes.
DOI 10.64898/2026.09.30.755627 - BioinformaticsbioRxivPreprint
Iterative computational bioprospecting of hydroxymethylfurfural oxidases combining molecular simulation and machine learning
Rubén Muñoz‐Tafalla, Mireia Martinez-Sugrañes, Juan Carro…·Martin Floor
The paper identifies improved hydroxymethylfurfural oxidases through iterative computational methods combining molecular simulation and machine learning.
DOI 10.64898/2026.09.29.755274 - BioinformaticsbioRxivPreprint
pre-miRBench: a multispecies benchmark and reference model for animal precursor microRNA prediction
Dimosthenis Tzimotoudis, Vasilis Chatzitolios, Panagiotis Alexiou, Georgios K. Georgakilas
The paper introduces pre-miRBench, a multispecies benchmark for pre-miRNA prediction, showing its model outperforms existing predictors in cross-species and cross-family tests.
- BioinformaticsbioRxivPreprint
PREpiBind: Protein Representation-integrated Epitope-MHC Class II Binding Prediction
David Hyunyoo Jang, 황운택, Dongwoo Kim…·Juyong Lee
PREpiBind evaluates ten protein representations for pMHC-II binding prediction across multiple datasets, showing varying performance depending on the task and evaluation method.
DOI 10.64898/2026.09.15.751749 - BioinformaticsbioRxivPreprint
Forensic likelihood ratios for shotgun sequencing data from DNA mixtures
Rasmus Nielsen, Abigail Daisy Ramsøe, Martin Sikora…·Thorfinn Sand Korneliussen
The paper develops likelihood ratios for forensic DNA mixtures from shotgun sequencing data, showing they can be unreliable and proposing a combined evidence score to improve accuracy.
DOI 10.64898/2026.09.28.755155 - BioinformaticsbioRxivPreprint
PanRes: A database of latent and acquired antimicrobial resistance allowing 3D-based protein homology search
Martina Vojtkova, Martynas Baltušis, Hannah-Marie Martiny…·Patrick Munk
PanRes is a curated database of antimicrobial resistance genes that uses structural clustering and HMMs to improve detection of resistance determinants in metagenomes.
DOI 10.64898/2026.06.22.733705 - BioinformaticsbioRxivPreprint
Intraindividual longitudinal changes of the proteome reveal dynamic markers of biological aging
Raphael Lermer, Xiaofeng Qian, Sophie Theresa Pusch…·Matthias Heinig
The paper develops a proteomic aging clock using longitudinal plasma proteomics data to show that biological aging is dynamically influenced by modifiable risk factors.
DOI 10.64898/2026.10.01.755909 - BioinformaticsPLoS Computational BiologyPeer-reviewed
HiFIseek: gene-specific enrichment of high-impact mutations in associated genomic regions
Rafael Riudavets Puig, Denise G O'Mahony, Ina Skaara Brorson…·Anthony Mathelier
HiFIseek identifies gene-specific enrichment of high-impact mutations in genomic regions associated with cancer and breast cancer risk SNPs, showing limited agreement across CRR-score combinations.
DOI 10.1371/journal.pcbi.1014842 - BioinformaticsbioRxivPreprint
Characterization of cross-family conserved fragments
The paper characterizes cross-family conserved fragments, showing their structural and biophysical properties and their role in folding and stability.
DOI 10.64898/2026.09.28.754887 - BioinformaticsbioRxivPreprint
digestome: a licence-clean marker-gene panel for functional profiling of anaerobic digestion microbiomes
The paper introduces digestome, a marker-gene panel for functional profiling of anaerobic digestion microbiomes, and benchmarks it against metagenome-assembled genomes and species representatives.
DOI 10.64898/2026.09.28.755039 - BioinformaticsbioRxivPreprint
RGI-Toolkit: Differentiable Restraints for Controllable Biomolecular Structure Prediction
Tatsuki Hori, Yoshitaka Moriwaki, Ryuichiro Ishitani
RGI-Toolkit enables controllable biomolecular structure prediction by integrating experimental restraints into diffusion models without retraining.
DOI 10.64898/2026.10.05.756905