Evolution in time-varying environments naturally leads to adaptable biological systems that
can easily switch functionalities. Advances in the synthesis of environmentally responsive …

The use of static graphs for modelling and analysis of biological and biomedical data plays a
key role in biomedical research. However, many real-world scenarios present dynamic …

All cells employ signal transduction pathways to respond to physiologically relevant
extracellular cytokines, stressors, nutrient levels, hormones, morphogens, and other stimuli …

Much of biochemical regulation ultimately controls growth rate, particularly in microbes.
Although time-lapse microscopy visualises cells, determining their growth rates is …

Computational models of evolution are valuable for understanding the dynamics of
sequence variation, to infer phylogenetic relationships or potential evolutionary pathways …

There is a pressing need to better understand how microbial populations respond to
antimicrobial drugs, and to find mechanisms to possibly eradicate antimicrobial-resistant …

The adaptive immune system constantly remodels its lymphocyte repertoire for better
protection against future pathogens. Its ability to improve antigen recognition on the fly relies …

Biological evolution of a population is governed by the fitness landscape, which is a map
from genotype to fitness. However, a fitness landscape depends on the organism's …

Measurements of interaction intensity are generally achieved by observing responses to
perturbations. In biological and chemical systems, external stimuli tend to deteriorate their …

Temporal variation of environmental stimuli leads to changes in gene expression. Since the
latter is noisy and since many reaction events occur between the birth and death of an …