Genomics, Computational and Systems Biology

Systems biology is an interdisciplinary search for the fundamental organizing principles that underlie the evolution and function of biological systems ranging from small molecular networks to multi-species communities. The related field of genomics aims to understand the structure, function, and evolution of genomes, using large-scale genetic and molecular observations. Computational, statistical, and theoretical approaches are fundamental to genomics and systems biology. Large-scale molecular and phenotypic observations, coupled with theory and artificial intelligence, enable systems biologists to develop predictive understanding of biological behavior and reveal the key organizing principles that are often obscured by the underlying descriptive details. By harnessing the power of genomics and systems biology, researchers can uncover new biological insights, advance our knowledge of the fundamental processes that govern life, and help develop novel therapeutic approaches.

Research Groups

Andolfatto Lab

The evolutionary processes shaping genome evolution and the genetic mechanisms underlying adaptations and species-specific traits

Bussemaker Lab

Data-driven predictive modeling of gene regulatory networks

Dietrich Lab

Bacterial models for biological shape and pattern formation

Gaublomme Lab

Create and apply multi-omic technologies to study biomolecular and cellular interactions during development, physiology and pathology

Jovanovic Lab

Regulation of protein production dynamics: RNA binding proteins and the ribosome code

Landweber Lab

RNA-mediated epigenetics and genome reorganization during development

Przeworski Lab

Population and human genetics

Sella Lab

Evolutionary and population genetics of adaptation and disease

Tavaré Lab

Computational cancer genomics, including statistical and stochastic methods for understanding tumor heterogeneity and cancer evolution

Tavazoie Lab

Principles of cellular adaptation

Tomer Lab

Develop and apply molecular, optical and data analytic methods for multi-scale understanding of complex biological systems

Tosches Lab

Evolution of cell types and circuits in the vertebrate brain

A mouse brain is visualized in black and white with fluorescence.

Affiliated Faculty