Browse our latest Computational and Systems Biology articles

Network topology and gene expression patterns in small cell lung cancer reveal two mutually opposing teams of regulators that enable multistability and consequent non-genetic heterogeneity, a clinically unsolved challenge.

The fact that sexual activity/reproduction doubles the lifespan of certain rodent species is most likely linked to critical changes in the regulation of the hypothalamic–pituitary–adrenal stress axis.

A deep learning-based pipeline was developed for extracting cellular signals flexibly from moving cells in 3D time lapse images, and it outperformed previous methods under different imaging conditions.

The integration of multi-nucleosome configuration data with histone turnover and new chromatin accessibility data by systematically investigated 'regulated on-off-slide' models reveals promoter state transitions regulated by just one assembly process.

Temporal changes in genome-wide enhancer transcription activity during a transdifferentiation event reveal additive and synergistic enhancer cooperation.

A computational tool developed to construct three-dimensional anatomical atlases from two-dimensional data generates volumetrically complete and aligned atlases for all stages of development in the Allen Developing Mouse Brain Atlas.

Properties of various microbial communities time series, such as the noise color and neutrality, are captured by stochastic generalized Lotka-Volterra equations, even in the absence of interactions.

The phenotype of a gene regulatory network depends both qualitatively and quantitatively on the local genetic context of its individual components and cannot necessarily be predicted solely from network's topology.

An approach called deep mutational scanning is improving our understanding of amyloid beta aggregation.

A massively parallel analysis of the effects of mutations on amyloid beta nucleation provide the first comprehensive atlas of how mutations alter the formation of amyloid fibrils.