An analysis of influenza viruses from naturally infected people suggests a tight transmission bottleneck and little positive selection within hosts.

Stochastic cell migration modulates exposure to signals that regulate commitment in the nephron progenitor niche.

A systematic comparison of experimentally measured and theoretically predicted magnitudes of organelle abundance fluctuations suggests that budding yeast produces the maximum level of variability in organelle abundance that can be generated by organelle biogenesis pathways.

New modelling, statistics, and experiments show that cellular populations of mitochondrial DNA (mtDNA) evolve during development according to solvable stochastic dynamics involving binomial partitioning and random turnover, facilitating a predictive and quantitative theory of the mtDNA bottleneck.

Multivariate stochastic volatility models provide insights into understanding the dynamics and connectivity of neural signals during cognitive tasks.

Fluctuations in the availability of particles for binding can completely jeopardize yield in heterogeneous self-assembly.

A principled statistical segmentation of fruit fly walking leads to a compact model of immediate actions that can reproduce the unique behavioral sequences of individual flies.

Single-cell FRET measurements reveal large temporal activity fluctuations within this signaling pathway in Escherichia coli, caused by stochasticity of receptor methylation combined with allosteric interactions and slow rearrangements within receptor clusters.

The bond-based adhesion model is a key step toward a realistic description of RBC-parasite interaction, which allows the investigation of more realistic scenarios and is relevant for other biological systems.

How gene expression noise is regulated is critical for cell fate and tissue patterning.