Global analyses using aneuploid Drosophila revealed the dynamic roles of RNA m⁶A modification in regulating gene expression and development under genomic imbalance, highlighting its potential relationships with dosage-related effects.

Numerous related sample characteristics affect polygenic score performance, and incorporation of interaction effects increases both model and polygenic score performance.

Highly accurate automated cell annotation in multi-cell imaging enables cell identification and reduces subjectivity in Caenorhabditis elegans neural image processing.

In feedforward networks with random connectivity, connection motifs underlying the detection of short clusters and activity sequences are likely to converge on a subset of postsynaptic neurons purely by chance.

Thousands of cell-type-specific split-GAL4 driver lines and a massive, searchable image collection enable Drosophila neuroscientists to target neurons of interest with increased precision.