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Single neuron images of Drosophila driver lines reveal neuron shape and are searchable, enabling comparisons to electron microscopy and prediction of intersectional neuron targeting strategies.

A practical toolbox for application of Granger causality inference to calcium imaging data identifies strong driver neurons in the locus of the mesencephalic locomoter region in larval zebrafish.

A score-based read selection strategy enables the assembly of novel full-length ribosomal RNA sequences for mosquitoes, which improves the physical and computational removal of interfering ribosomal RNA reads in RNA-seq and provides another molecular marker for taxonomic and phylogenetic inquiries.

Development of nanoluciferase complementation-based tau biosensors to detect tau conformational change and oligomerization in living cells in high-throughput assays.

Using the short-lived turquoise killifish, a transparent in vivo reporter line named klara is established that will be a valuable tool to explore development, senescence, aging, and regeneration.

Molecular atlas of Human leg muscles molecular atlas reveals muscle-specific signatures that discriminate between muscle groups.

In the central amygdala, transcriptomic definition of cell types and corresponding spatial transcriptomic analysis reveals major regional differences in molecular organization and relates newly identified molecularly defined cell types to major axon projection targets.

The web-server CriSNPr overcomes difficulties associated with the different CRISPR diagnostic platforms that stem from Cas-specific single guide RNA design parameters, thereby minimizing the time and effort required for individual assay design.

The Brain Extraction Network (BEN) provides a robust, accurate, and generalizable solution not only for extracting brain tissue from multimodal MRI data in rodents, non-human primates, and humans, but also for improving the accuracy of downstream neuroimaging processing tasks.

Unsupervised machine learning on the ultrastructure and shape of cells in volume electron microscopy yields a compact representation of cellular morphology that complements genetics-based cell type characterisation.