Regulatory networks structure and signaling pathways dynamics are uncovered in time-and
resource consuming experimental work. However, it is increasingly supported by modeling …

The question of how cell-to-cell differences in transcription rate affect RNA count
distributions is fundamental for understanding biological processes underlying transcription …

Multimodal, single-cell genomics technologies enable simultaneous measurement of
multiple facets of DNA and RNA processing in the cell. This creates opportunities for …

The chemical master equation (CME) is a fundamental description of interacting molecules
commonly used to model chemical kinetics and noisy gene regulatory networks. Exact time …

Recent advances in high-throughput, multi-condition experiments allow for genome-wide
investigation of how perturbations affect transcription and translation in the cell across …

Gene expression is a stochastic process in which cells produce biomolecules essential to
the function of life. Modern experimental methods allow for the measurement of …

In single-cell genomics, we can simultaneously assay hundreds of thousands of cells, their
molecular contents, and how they respond to perturbation, from genetic knockouts to …

All biological systems constantly receive, process and respond to external signals. Cells,
although being the basic unit of life, show remarkable ability to decipher the environmental …

The interpretation of transcriptomic observations requires detailed models of biophysical
noise that can be compared and fit to experimental data. Models of intrinsic noise …

In the last two decades, systems biology has experienced an ever-increasing boom, the
momentum of which has also accelerated the rise in popularity of mathematical modeling in …