Browse our latest Computational and Systems Biology articles

Orthologous proteins display different mutational robustness that can be leveraged to improve prediction of functional sequences.

Using a neural network to predict how green fluorescent proteins respond to genetic mutations illuminates properties that could help design new proteins.

Integrative analysis of multi-tissue transcriptomics data of mice subjected to cold, mild warm or room temperature places the thermal adaptation of individual tissues in a whole-organism perspective.

Highly reproducible and efficient human primordial germ cell differentiation was achieved through geometric confinement, which enabled quantitative dissection of the cell signaling driving this differentiation, revealing a major role of Wnt signaling is indirect by inducing Nodal signaling.

Genetic architecture of muscle secreted protein functions are dominated by sex.

Mathematical modelling and large-scale online experiments revealed that learning from others can induce 'smarter' decisions even when most individuals are biased towards adverse risk aversion.

A cortical model inspired by cognitive theories and deep learning demonstrates how the combination of wakefulness, non-rapid eye movement (NREM), and REM dreams leads to the emergence of robust and semantically organized neuronal representations in higher cortical areas.

In developing neural cell cultures, information flows lock-in early and nodes undertake specialised computational roles.

Chromosomal instability of cancer can be quantitatively measured by phylogenetic analysis of 200 tumor cells while using evolutionary principles to account for cellular selection.

Single-molecule sequencing and mating experiments in yeast reveal key properties of mitochondrial DNA dynamics that inform the fate of mutant mtDNA in cells.