Browse our latest Computational and Systems Biology articles

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.

The sleep–wake state sequence explains almost all of the variance in brain temperature in the mouse, and its detailed dynamics can be accurately predicted only using sleep–wake information.

Mathematical modelling suggests that the evolution of communication between bacterial viruses requires repeated outbreak events, and the model then predicts typical communication strategies.

A statistical model systematically associates functions of intrinsically disordered regions with sequence-distributed molecular features such as charge, residue composition, or repeat content.