Browse our latest Computational and Systems Biology articles

A model framework and toolbox to quantify metacognitive biases and sources of metacognitive noise in animal and human confidence data.

Disparate functions of low complexity regions of proteins can be understood through a global view of their sequences, features, and relationships across different organisms and biological contexts.

The evolution of clonal multicellular life cycles, whose growth is constrained by competition, may lead to coexistence or multistability between several life cycles while evolutionarily stable strategies can be inferred from the analysis of a model with unconstrained growth.

A new tool enables measuring feeding and locomotion simultaneously which will enable insights into environmental, developmental, neuronal, and genetic factors underlying behavioral regulation.

A deep learning-based image classification pipeline unleashes automated division counting and replicative lifespan analyses of single cells growing in microfluidic cellular traps.

Multiobjective artificial selection methods from evolutionary computing show promise for improving directed evolution outcomes when selecting for multiple traits of interest.

A novel computational pipeline uses time-frequency analysis to capture the dynamics of human facial expressions, and demonstrates abnormal facial dynamics in melancholic depression.

Hierarchical transformations of visual representations, saccade-related activity, and sensorimotor associations occur in parallel at the juncture of visual and parietal cortex.

The amination network for the distribution of assimilated ammonium throughout metabolism is defined by promiscuous transaminases, allowing a high flexibility of the network that supported engineering novel connections and even alternative ammonium assimilation entry points.

Combined analyses of transcriptome and chromatin accessibility elucidated the mechanisms underlying cancer cell lines response to antitumor candidates and provided a versatile perturbation-informed basal signature able to predict drug sensitivity.