Evolutionary Systems Biology

UCL Systems Biology

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Events and News

News

Systems Biology Journal club has restarted for the this term. First meeting 29 September >>more

Information about the BBSRC e-Learning for Systems Approaches programme now available >>more

New PhD Programme

UCL has developed a new Interdisciplinary PhD Programme in bioscience and bioengineering. The programme covers all levels of biology, from molecules through to cells and whole animal physiology, and provides training in cutting edge techniques, including bioengineering, data analysis, computational and mathematical modelling, imaging, structural biology and systems approaches >>more

Recent Publications

Jennifer Rohn and Buzz Baum (LMCB) "Comparative RNAi screening identifies a conserved core metazoan actinome by phenotype"

Jennifer Rohn and Buzz Baum (LMCB) "Identification and characterization of a set of conserved and new regulators of cytoskeletal organization, cell morphology and migration"

Evolutionary Systems Biology

All life is the result of evolution. In order to understand life, we need to investigate the evolutionary process that determines its form and function. By decoding the evolutionary heritage contained in the properties of extent species we can gain insights into the evolutionary processes that shaped these organisms. And conversely, following the evolutionary path of specific components can provide important information about the characteristics of living biological systems.

The Evolutionary Systems Biology group brings together researchers who are interested in understanding the evolution of biological systems, from the level of genes through to whole organisms, using the approaches and principles of systems biology. Particular interests of the group include the study of the genotype-phenotype map, gene networks in ageing and chronobiology, the analysis of protein structure and function and viral evolution and transmission. A wide range of methodologies and techniques are used, ranging from computational and mathematical modeling, through bioinformatics and functional genomics, to single cell luminescent imaging and phenotypic characterisation.