Browse our latest Computational and Systems Biology articles

Each stage of the scientific life cycle stands to benefit from the introduction of data science techniques.

A Y-chromosome shredding gene drive that depletes the pool of XY males and effects mate limitation could be a viable tool for vertebrate pest control.

Live cell imaging demonstrates that the dynamics of ligand presentation influence signaling through two closely related morphogen signaling pathways in dramatically different ways.

Phototrophic growth laws are elucidated by combining computational modeling and experiments for quantitative evaluation of cellular physiology, morphology and proteome allocation across a wide range of light conditions.

During behavior, many neurons do not have classic trial-averaged responses to behaviorally relevant stimuli, but can still have activity and population dynamics related to stimulus and behavioral choice on single trials.

Bigger bumblebee eyes have better vision, yet their field of view, sensitivity, and resolution do not all simply scale up with eye size, being improved locally instead.

A new computational framework provides a flexible and general approach for single and collective biological motion characterisation and phenotyping ideally suited for high-throughput timelapse screens.

Multiscale Graph Correlation, an interpretable hypothesis test with strong theoretical guarantees for discerning relationships in complex data, requires about half the sample size as other methods, whilst maintaining computational tractability.

Many scientific terms have been borrowed from ancient languages, but their modern usage often overlooks their etymology, as do many new terms coined by scientists.

The application of deep learning fills a major gap in host–pathogen research providing for unbiased, multi-module high-throughput image analysis.