The paper uses machine learning to model the spread of H5N1 avian influenza in Europe, finding that ecological factors refine risk predictions beyond climate alone.

bioRxiv · Jul 17, 2024Ecology

CZ CELLxGENE Discover: A single-cell data platform for scalable exploration, analysis and modeling of aggregated data

CZI Single-Cell Biology, S. Abdulla, B. Aevermann, P. Assis, S. Badajoz, S. M. Bell, E. Bezzi, B. Cakir, J. Chaffer, S. Chambers, J. M. Cherry, T. Chi, J. Chien, L. Dorman, N. Gloria, , Tolop

CZ CELLxGENE Discover provides a platform for scalable exploration and analysis of aggregated single-cell transcriptomic data across multiple studies.

bioRxiv · Oct 30, 2023 · PreprintCell Biology

The role of ion dissolution in metal and metal oxide surface inactivation of SARS-CoV-2

J. Hilton, Y. Nanao, M. Flokstra, M. Askari, T. K. Smith, A. Di Falco, P. D. King, P. Wahl, C. S. Adamson

This study investigates how copper and copper oxide surfaces inactivate SARS-CoV-2, showing that copper ion dissolution and complexation with biomolecules in the carrier solution are key factors.

bioRxiv · Sep 8, 2023Microbiology

Fossil data do not support a long Pre-Cretaceous history of flowering plants

G. E. Budd, R. P. Mann, J. A. Doyle, M. P. Coiro, J. Hilton

The paper challenges the conclusion of Silvestro et al. that angiosperms originated in the Cretaceous, arguing their methodology is flawed and their results conflict with fossil evidence.

bioRxiv · Feb 16, 2021 · PreprintPaleontology