Browse our latest Computational and Systems Biology articles

A realistic model of the connections between local populations of neurons in the adult mouse brain can be constructed based on just two biologically plausible rules.

Self-activating Aurora B kinase, opposed by an inhibitory phosphatase, forms spatial phosphorylation patterns during cell division.

NF-κB oscillations synchronize to external perturbations as a damped oscillator, producing different transcription dynamics.

A computer model built on insights gained from comprehensive experimental analysis reveals mechanisms of blood stem cell regulation.

New methods reveal that complex local splicing variations are more prevalent in animals than previously appreciated, and demonstrate that local splicing variations are relevant for studies of development, gene regulation and neurodegenerative diseases.

Many natural isolates of budding yeast carry extra chromosome copies and show lower-than-expected expression at a subset of amplified genes, which show unique evolutionary signatures.

A stochastic model of locomotory control in C. elegans based on an extensive new set of tracking data can explain and predict effects of ablations and mutations on behavior.

By properly accounting for gene copy number and cell-cycle effects, single cell snapshots of nascent and mature mRNA can be used to unveil the stochastic kinetics of gene activity.

In an investigation into the effects of drugs on proteins, an active machine learning algorithm chose which sets of experiments to perform and was able to learn an accurate model of the effects after doing only a fraction of the experiments.