An analysis of the first complete synaptic resolution connectome of Drosophila's navigation circuit uncovers neural network motifs supporting broadly relevant sensorimotor computations.

Epigenomic and transcriptomic analysis reveals that paternal obesity influences sperm histone H3 lysine 4 tri-methylation enrichment and placenta gene expression, which in turn negatively impact its development and function in a manner that may contribute to metabolic disease in offspring.

A stochastic model of locomotory control in C. elegans based on an extensive new set of tracking data can explain and predict effects of ablations and mutations on behavior.

Cancer systems immunology is a highly interdisciplinary field that is advancing our ability to understand and predict the complex behavior that orchestrates the interplay between tumors and the immune system.

New reconstruction methods are used to create a publicly available dense reconstruction of the neurons and chemical synapses of central brain of Drosophila, with analysis of its graph properties.

In-built competing effects are present at different levels in signaling networks, starting from basic biochemical building blocks to the network level, and mathematical and computational analysis reveals when they give rise to biphasic responses and what the consequences are.

RNA sequencing and genetic mouse models reveal that transcriptional changes to astrocytes in the developing cortex are not intrinsic but influenced by their environment and determine that expression of astrocyte synapse-regulating genes and neuronal synaptogenesis is modulated by ongoing astrocyte-neuron communication.

A new machine-learning toolbox unveils coevolutionary protein motifs related to structure, function, and phylogeny from sequence information only.