Computational and Physical Biology Interest Group

Biology is increasingly becoming a data-driven science. This is sparked by the development of high-throughput technologies such as massively parallel sequencing, as well as imaging and quantification of the complex processes occurring in space and time in cells and tissues.

A graph plot from a genome-wide computational analysis of cancer genomes.

Concomitant with this, computational analysis of large-scale datasets generated by these new technologies, such as the human genome reference sequence, has become an indispensable research tool.

In addition, complex biological processes can often only be understood through appropriate physical descriptions and computational modelling. Therefore, computational and physical biology have become essential components in many biological studies, in generating hypotheses and in answering biological questions, both in health and disease.

The Computational and Physical Biology Interest Group (Crick Cacti) creates a forum for both dry labs and wet labs with a computational component to exchange ideas on the physics of biological systems, genomics and computational biology.

Our members contribute to computational method development, biological data analysis and physical theories describing biological systems, and have a real impact in generating biological insights in various fields of biology, including cancer genomics, functional genomics, cell biology and developmental biology.

For more information, or to be added to the Interest Group mailing list, please contact Kayleigh Richardson (

Upcoming seminars:

  • 6 November, 10:30 - Frank Jülicher, Max-Planck-Institute for the Physics of Complex Systems, 'Title TBC'