Abstract Systems biology has experienced dramatic growth in the number, size, and
complexity of computational models. To reproduce simulation results and reuse models …

The future development of personalized medicine depends on a vast exchange of data from
different sources, as well as harmonized integrative analysis of large-scale clinical health …

The pancreas plays a critical role in maintaining glucose homeostasis through the secretion
of hormones from the islets of Langerhans. Glucose-stimulated insulin secretion (GSIS) by …

Data sharing, integration and annotation are essential to ensure the reproducibility of the
analysis and interpretation of the experimental findings. Often these activities are perceived …

Computational models are often employed in systems biology to study the dynamic
behaviours of complex systems. With the rise in the number of computational models, finding …

Synthetic Biology Open Language (SBOL) Visual is a graphical standard for genetic
engineering. It consists of symbols representing DNA subsequences, including regulatory …

Life science researchers use computational models to articulate and test hypotheses about
the behavior of biological systems. Semantic annotation is a critical component for …

Microbiomes, comprised of diverse microbial species and viruses, play pivotal roles in
human health, environmental processes, and biotechnological applications and interact with …

As a conceptual model of disease mechanisms, a disease map integrates available
knowledge and is applied for data interpretation, predictions and hypothesis generation. It is …

Objective: Like all scientific research, computational neuroscience research must be
reproducible. Big data science, including simulation research, cannot depend exclusively on …