Browse our latest Computational and Systems Biology articles

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.

Time-lapse recording and theoretical analysis of individual cells isolated from the zebrafish segmentation clock reveal that they behave as self-sustained, autonomous oscillators with distinctive noisy dynamics.

A systems level reconstitution of H-Ras GTPase signaling reveals a rich space of tunable dynamic outputs and clarifies the consequences of oncogenic perturbations to signaling.

Mathematical modeling supports a scenario where cell-cell adhesion gradually evolves through natural selection, leading to the emergence of cohesive aggregates in microbial populations.

Many tumors are depleted of mitochondrial DNA; this depletion is associated with changes in gene expression and with the incidence of critical somatic mutations and alterations.

Primary trigeminal neurons encode rotational forces in awake mice as they explore an object with their whiskers, allowing accurate prediction of spiking during behaviour.

Transcriptional regulation evolves at indistinguishable rates in mammals, birds and insect lineages despite large differences in underlying rates of sequence evolution.