David Searls presents a catalog of several hundred free video courses of potential interest to those wishing to expand their knowledge of computational biology in this Education article. The courses are organized into eleven subject areas and are accompanied by commentary and career advice.
Using a computational framework for modelling, exploring, and tracking enhanced metabolic capacities in simple microbial communities, Chia et al. demonstrate that emergent biosynthetic capacity – multiple species growing together to produce metabolites not secreted when growing alone – is common.
Ferguson et al. develop a framework to determine the optimal sampling strategy for disease detection in zoonotic host-vector epidemiological systems when a disease goes from below detectable levels to an epidemic. They illustrate their approach using West Nile virus.
Acerbi et al. examine the role of complexity of prior experience on suboptimal decision making. Their findings suggest that remembering the patterns of past events constitutes more of a challenge to decision making than manipulating complex information.
PLOS Computational Biology is a peer-reviewed, open-access journal featuring works of exceptional significance that further our understanding of living systems at all scales through the application of computational methods. It is an official journal of the International Society for Computational Biology.