Browse our latest Computational and Systems Biology articles

Natural transmission experiments should be prioritised over risky and expensive field trials, in order to establish the impact of cattle vaccination on the transmission of bovine Tuberculosis.

Certain types of 3D chromatin loops are easy to predict from existing or easily obtainable 2D information, which benefits gene expression studies in tissues/cells/organisms without extensive pre-existing 3D information.

Compiling public datasets into a single, centralised repository and linking directly to analytical software completely transforms the scale and scope of causal inference across the phenome.

Integration of structural bioinformatics and free-energy simulations reveals how a helicase switches its function from unwinding to rezipping DNA, during which a key metastable conformation is predicted and verified by single-molecule measurements.

Humans are biased in their assessment of sensory information by their own preceding categorical judgment in an attempt to remain self-consistent.

A computational method is presented that quantifies the effect that specific bacteria in the gut have on the immune system and guides the design of therapeutically potent microbial consortia to cure auto-immune disease.

The acquisition of vascular quiescence during transition to adulthood is driven by distinct transcriptional and epigenetic programs of pro- and anti-angiogenic genes, with the most prominent effect on the suppression of TGFß family signaling.

100,000s of images from different growth conditions and genetic backgrounds can be integrated into proteome-scale analysis.

A general machine learning scheme for integrating time-series data from single-molecule experiments and molecular dynamics simulations is proposed and successfully demonstrated for the folding dynamics of the WW domain.

Using barcoded mutagenesis and a high-throughput genetic screen results in the identification of 150 genes that affect lipid accumulation in a non-model yeast system.