Sydney Dimmock, Benjamin MS Exley ... Cian O'Donnell
Bayesian hierarchical models offer powerful statistical tools for neuroscientists to analyze whole-brain cell count data, as demonstrated here using two example datasets from different laboratories.
An open-source deep learning toolkit performs accurate annotation and similarity scoring of zebra finch song, along with comprehensive feature extraction, enabling consistent, interpretable comparisons of vocal phenotypes across research groups.
OpenSpliceAI is an open, retrainable framework for splice site prediction that enables rapid, memory-efficient, cross-species analyses at scale with accuracy comparable to SpliceAI.
Designer Receptors Exclusively Activated by Designer Drug (DREADD) expression in macaque brains peaks around 2 months after adeno-associated virus injection and remains stable for over a year before gradually declining.
Noelle L Koonce, Sarah E Emerson ... Daniel A Colón-Ramos
NeuroSC provides an open-source framework for comparative connectomics, integrating neuronal morphologies, contacts, and synapses across developmental stages and datasets.
Development of robotic device for pain and somatosensory assays in rodents allows remote, quantitative, and reproducible delivery of mechanical stimuli.
BEHAV3D Tumor Profiler enables researchers without computational expertise to uncover heterogeneous cell behaviors and explore their relationships with microenvironmental features in intravital microscopy data.
Soham Mukhopadhyay, Muhammad Asim Javed ... Edel Perez-Lopez
Comparative structural genomics identifies unique effector architectures and ankyrin-mediated host targeting, revealing central and conserved strategies that underpin the pathogenicity of diverse gall-forming microbial species across evolutionary lineages.
David Ferreiro, Luis Daniel González-Vázquez ... Miguel Arenas
Forecasting protein evolution in terms of folding stability using state-of-the-art population genetics and substitution models is feasible in rugged fitness landscapes, whereas forecasting exact amino acid sequences remains more challenging.
