Jason Mercer

The paper refines a genome-wide poxvirus-host interaction screen using a protein language model to improve hit prioritisation and provides the results as a community resource.

The paper uses an image-based screening approach to identify VACV genes that affect LC3 lipidation, revealing candidate viral membrane proteins involved in this process.

This paper introduces a mimicry embedding strategy to enable efficient deep learning for 3D biomedical micrographs by mimicking verified datasets.

NanoJ provides a high-performance open-source toolbox for super-resolution microscopy, offering tools for data alignment, image reconstruction, quality assessment, structural modeling, and sample control.