Latest Computational Biology Research Papers

The newest Computational Biology papers from across the field — arXiv, NeurIPS, CVPR, Nature, and more — refreshed daily and ranked by relevance. Distill AI tracks Computational Biology so you don’t have to: get the standout work delivered to your inbox every morning, with 2-sentence summaries and the option to chat with any paper.

Recent papers

• Riemannian Tensor Analysis Identifies a Bifurcation State in the Single-Cell Transcriptomic Landscape of Parkinson's Disease
  Jino Choi, Moonseok Choi, K Kim, Sarah Bauermeister et al. · bioRxiv (Cold Spring Harbor... · May 13, 2026

  The transition from healthy aging to Parkinson's disease (PD) involves highly volatile transcriptomic rewiring that remains invisible to conventional mean based analyses. To decode this critical tipping point, we integrated single cell RNA …

• scArchon: a scalable benchmarking framework for assessing single-cell perturbation models
  Jean Radig, Robin Droit, Daria Doncevic, Albert Li et al. · Genome biology · May 12, 2026

  BACKGROUND: The accurate prediction of cellular responses to perturbations, such as drug treatments, remains a pivotal challenge in single-cell transcriptomics. While numerous deep learning tools have been developed for this task, their sys…

• Characterization of de novo germline mutations suggests a strong male mutation bias in coppery titi monkeys ( <i>Plecturocebus cupreus</i> )
  Cyril J Versoza, Karen L. Bales, Jeffrey D Jensen, Susanne P Pfeifer · Molecular Biology and Evolu... · Apr 25, 2026

  Although recent advances in genomics have enabled the high-resolution study of whole genomes, our understanding of one of the key evolutionary processes, mutation, still remains limited. In primates specifically, studies have largely focuse…

• Multimodal artificial intelligence in urologic precision oncology: from algorithm to translational medicine (a systemized narrative review)
  Farid Rajaee Rizi, Maryam Jamadi, Samin Rahimi, Moein Bighamian et al. · Frontiers in Oncology · Apr 13, 2026

  Precision oncology in urology increasingly depends on integrating heterogeneous data, including multiparametric imaging, histopathology, genomics, and clinical variables. Multimodal artificial intelligence (AI) offers a unified framework to…

• <i>MapMyCells:</i> High-performance mapping of unlabeled cell-by-gene data to reference brain taxonomies
  Scott Daniel, Changkyu Lee, Tyler Mollenkopf, M. H. Lee et al. · bioRxiv (Cold Spring Harbor... · Mar 9, 2026

  , an open-source framework designed to align diverse single-cell omics datasets to hierarchical reference taxonomies with minimal preprocessing. MapMyCells provides out-of-the-box support for an expanding set of high-quality brain cell-type…

• N6-methyladenine identification using deep learning and discriminative feature integration
  Salman Khan, Islam Uddin, Sumaiya Noor, Salman A. Alqahtani et al. · BMC Medical Genomics · Mar 29, 2025

  N6-methyladenine (6 mA) is a pivotal DNA modification that plays a crucial role in epigenetic regulation, gene expression, and various biological processes. With advancements in sequencing technologies and computational biology, there is an…