A 3D model captures the growth and expansion dynamics of bacterial colonies, revealing distinct effects of surface tension, mechanical forces, and nutrients on the speed of radial and vertical expansion.

Relative hydraulic resistance, shear rate, and pressure in a vascular network integrate the network's architecture via fluid flow, and determine vein dynamics, with a time delay, in the prototypical organism Physarum polycephalum.

Mathematical modelling suggests that the evolution of communication between bacterial viruses requires repeated outbreak events, and the model then predicts typical communication strategies.

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.

A mathematical model for a popular biological diversity mechanism, cyclic dominance, is more likely to emerge by assembly than by evolutionary diversification, which rationalizes why few empirically studies find it.

Oscillation component analysis enables cognitive neuroscientists to summarize millisecond-precision high-dimensional neurophysiological recordings into a smaller set of oscillatory components through biophysically inspired generative modeling of neural oscillations.

Unbiased computational integration of single-cell- and human genetics data shows that susceptibility to obesity is driven by a broad set of neuronal populations across the brain.

A newly developed computational framework provides an overview of the extent, diversity, and relevance of the genes of unknown function in genomes and metagenomes.

A model of pathogen co-evolving with host population continuously acquiring immunity is used to identify evolutionary parameters allowing pathogen population to persist without going extinct or splitting into independent lineages.

Chronic bacteriophages are induced by the supplement of polysaccharide in the deep-sea Lentisphaerae strains, and these bacteriophages potentially reprogram host polysaccharide metabolism through the auxiliary metabolic genes.