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Dr Edward Morrissey

Dr Edward Morrissey

Research Associate

Room 130H
Cancer Research UK Cambridge Research Institute
Li Ka Shing Centre
Robinson Way
Cambridge CB2 0RE

Office Phone: +44 1223 76 9682


Edward studied Physics at the Universidad Autonoma de Madrid, specialising in theoretical physics. Upon completion of his degree, he worked for a year in industry and following this he spent 2 years working in academia. The work included working on Nuclear Physics (Spanish National Research Council), Theoretical Neuroscience (Theoretical Physics Department UAM) and Bioinformatics (Spanish National Cancer Research Centre).

For his PhD Edward worked on Bayesian gene regulatory network inference in Streptomyces coelicolor. The project was part of STREAM, a European project involving research groups from UK, Germany, Holland, Spain and Norway. During the final year of his PhD he spent six months as a Visiting Scholar at the Collins Lab.

Research Interests

Edward is interested in the development and application of quantitative/statistical methods that complement classical biological approaches.


Problems classes for Modelling and Statistics in Systems Biology (BS917) 2008/2009 [Warwick Systems Biology Doctoral Training Centre]


  • Stochastic Processes
  • Image Processing
  • Gene Regulation
  • Bayesian Inference


  • Colorectal Cancer
  • Intestinal Epithelium
  • Stem Cell Biology

Key Publications

Vermeulen L*, Morrissey ER*, van der Heijden M, Nicholson AM, Sottoriva A, Buczacki S, Kemp R, Tavaré S and Winton DJ. Defining Stem Cell Dynamics in Models of Intestinal Tumor Initiation. Science 2013. (* Joint first authors)  [ Science perspectives: Unwanted Evolution]

Kozar SK*, Morrissey ER*, Nicholson AM, van der Heijden M, Zecchini HI, Kemp R, Tavaré S, Vermeulen L and Winton DJ. Continuous Clonal Labelling Reveals Small Numbers of Functional Stem Cells in Intestinal Crypts and Adenomas . Cell Stem Cell 2013. (*Joint first authors)

Morrissey, E.R., Juárez, M.A., STREAM Consortium and Burroughs, N.J. GRENITS: An R/Bioconductor package for the inference of gene regulatory networks using Bayesian Networks. In preparation. [Bioconductor Package]

Morrissey, E.R., Juárez, M.A., Denby, K.J. and Burroughs, N.J. Inferring the time-invariant topology of a nonlinear sparse gene regulatory network using fully Bayesian spline autoregression. Biostatistics 2011

Morrissey, E.R., Juárez, M.A., Denby, K.J. and Burroughs, N.J. On reverse engineering of gene interaction networks using time course data with repeated measurements. Bioinformatics 2010

STREAM Consortium, 2010. The dynamic architecture of the metabolic switch in Streptomyces coelicolor. BMC Genomics 2010

Morrissey E.R., Diaz-Uriarte R. 2009. Pomelo II: finding differentially expressed genes. Nucleic Acids Research 2009

Diaz-Uriarte, R., Alibés, A., Morrissey, E. R., Cañada, A., Rueda, O.M., Neves, M. L. Asterias: integrated analysis of expression and aCGH data using an open-source, web-based, parallelized software suite. Nucleic Acids Research 2007

Alibés, A., Morrissey, E. R., Cañada, A., Rueda, O. M., Casado, D., Yankilevich, P., and Díaz-Uriarte, R. Asterias: a parallelized web-based suite for the analysis of expression and aCGH data. Cancer Informatics 2006

Other Publications

Turrión M., Tengblad O., Borge M., Reillo E. , Morrissey E.R., and Santana M. On line Release Simulator of Radioactive Beams produced by ISOL technique AIP Conf. Proc. -- February 12, 2007 -- Volume 884, pp. 278-284