Browse our latest Computational and Systems Biology articles

Mathematical models encoding biological hypotheses reveal new insight into the dynamics of naive immune cells in mice from birth to old age.

For analyzing time-dependent patch-clamp or patch-clamp fluorometry data of ion channels in terms of Markovian models, the superiority of Bayesian filtering with respect to traditional deterministic approaches is demonstrated enabling more reliable quantification of the parameters.

Spiking neural networks become robust to various perturbations of their parameters if their voltages are confined to a lower-dimensional subspace, and both dynamics and robustness can be visualised in this voltage subspace.

A biophysical model of the process by which bacteria transition from the motile planktonic state to the immobilized biofilm state yields testable predictions in terms of two dimensionless parameters, one describing nutrient availability and the other describing cellular dispersal.

A new model helps to predict under which conditions a species of bacteria will switch to a static lifestyle.

Gender gaps in academic achievement are in fact "parenthood gender gaps", with mothers experiencing higher levels of work-family conflict, and receiving lower levels of partner support, than fathers.

An automated platform for cell culture combines robotics and artificial intelligence to optimize cell culture protocols and reliably produce specific cell types that could be used for regenerative medicine treatments.

A new mathematical method has been developed, implemented and validated for the analysis of time-lapse confocal laser scanning microscopy images to characterize the swimming behavior of bacterial swimmers moving in the exogenous matrix of pathogenic biofilms.

Both human and microbe cell-free RNA features in plasma could distinguish tumors of different primary locations.

Increased usability and validity of neuroscience models, through FAIR workflows for the whole modeling process, including data and model management, parameter estimation, uncertainty quantification, and model analysis.