To understand complex biological systems requires the integration of experimental and
computational research—in other words a systems biology approach. Computational …

The adoption of powerful software tools and computational methods from the software
industry by the scientific research community has resulted in a renewed interest in …

Computational reproducibility is a simple premise in theory, but is difficult to achieve in
practice. Building upon past efforts and proposals to maximize reproducibility and rigor in …

Purpose Potential drug-drug interactions (pDDIs) may harm patients admitted to the
Intensive Care Unit (ICU). Due to the patient's critical condition and continuous monitoring …

Modelling is widely used in ecology and its utility continues to increase as scientists,
managers and policy‐makers face pressure to effectively manage ecosystems and meet …

Computational neuroscience relies on simulations of neural network models to bridge the
gap between the theory of neural networks and the experimentally observed activity …

Researchers in ecology and evolutionary biology are increasingly dependent on
computational code to conduct research. Hence, the use of efficient methods to share …

The reproducibility of scientific research is crucial to the success of the scientific method.
Here, we review the current best practices when publishing mechanistic models in systems …

During the COVID-19 pandemic, mathematical modeling of disease transmission has
become a cornerstone of key state decisions. To advance the state-of-the-art host viral …

The brain is the most complex of human organs, and the pathophysiology underlying
abnormal brain function in psychiatric disorders is largely unknown. Despite the rapid …