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Cambridge Computational Biology Institute

About the CCBI

Modern biology is an interdisciplinary endeavour and the CCBI was established to help bring together the unique strengths of Cambridge in medicine, biology, mathematics, computer science, physics and engineering.  Its aim is to promote excellence in research and teaching and to provide a focus in the Cambridge region for computational biology interpreted broadly.

We are living in a very exciting time for biology: whole-genome sequencing has opened up the field of genome scale biology and with this a trend to larger-scale experiments, whether based on DNA sequencing or other technologies.  However it is also a time of great opportunity for small-scale biology as there is a new wealth of data to build from: one can turn to a computer to ask questions that previously might have taken months to answer in the laboratory. One of the great challenges for the field is analysing the large amounts of complex data generated, and synthesising them into useful systems-wide models of biological processes. Whether operating on a large or small scale the use of mathematical and computational methods is becoming an integral part of biological research.

There remains a world-wide shortage of skilled computational biologists. An important part of the CCBI is an MPhil course for graduates at the Centre for Mathematical Sciences. The 11-month course introduces students to bioinformatics and other quantitative aspects of modern biology and medicine. It is intended both for those whose first degree is in biology, and especially for mathematicians, computer scientists and others wishing to learn about the subject in preparation for a PhD course or a career in industry. Complementing the MPhil course is the Wellcome Trust PhD programme in Mathematical Genomics and Medicine.  Run jointly with the Wellcome Trust Sanger Institute this programme provides opportunities for collaborative research across the Cambridge region at the exciting interfaces between mathematics, genomics and medicine.


Upcoming events

(Archive of earlier talks)

Registration open: Workshop on Mathematical and Statistical Aspects of Molecular Biology (MASAMB): 30 years edition 1989-2019.  25-26 April 2019, European Bioinformatics Institute.

1 Mar 2019: Abstract submission deadline
15 Mar 2019: Registration deadline

Registration open: Cambridge Developmental Biology Meeting II: quantitative approaches. Friday 5th April 2019, Sainsbury Laboratory Cambridge University.

Save the date: Cambridge Computational Biology Institute Annual Symposium. Wednesday 15th May 2019, Centre for Mathematical Sciences, Wilberforce Road. Registration opens soon - sign up (see below) to be notified of this and similar events.

Sign up to the termly newsletter and notification of the above and similar events: we will not share your information and will only use it to let you know when registration opens for the above meetings, for occasional similar events, and for the termly newsletter. You can unsubscribe at any time.

A selection of recent computational biology papers from the region:
Alignment Modulates Ancestral Sequence Reconstruction Accuracy

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform.

[Jove video]

A Bayesian mixture modelling approach for spatial proteomics
Cells alter their tRNA abundance to selectively regulate protein synthesis during stress conditions

Co-complex protein membership evaluation using Maximum Entropy on GO ontology and InterPro annotation

Combining LOPIT with differential ultracentrifugation for high-resolution spatial proteomics
Comprehensive identification of RNA–protein interactions in any organism using orthogonal organic phase separation (OOPS)
Copy number signatures and mutational processes in ovarian carcinoma
High-throughput discovery of functional disordered regions: investigation of transactivation domains

Improving communication for interdisciplinary teams working on storage of digital information in DNA

InterMineR: an R package for InterMine databases
meaRtools: An R package for the analysis of neuronal networks recorded on microelectrode arrays
Metainference: A Bayesian inference method for heterogeneous systems.
MitoMiner v4.0: an updated database of mitochondrial localization evidence, phenotypes and diseases. 
Molecular and functional variation in iPSC-derived sensory neurons.
Open Targets Platform: new developments and updates two years on.
Quantitative analysis of auxin sensing in leaf primordia argues against proposed role in regulating leaf dorsoventrality.
Simultaneous determination of protein structure and dynamics using cryo-electron microscopy. 
Single-cell RNAseq reveals seven classes of colonic sensory neuron
Social dynamics modeling of chrono-nutrition
Uncovering new disease indications for G-protein coupled receptors and their endogenous ligands 
A unified rheological model for cells and cellularised materials and the associated Julia package