MRC Human Genetics Unit
Medical Research Council Human Genetics Unit

Colin Semple Research Group

Medical and Regulatory Genomics

C.Semple group
Professor Colin Semple

Section: Biomedical Genomics

Research in a Nutshell 

The genes embedded in your genome have complex patterns of activity and particular constellations of genes must be active at particular times for biological processes, such as embryonic development, to conclude successfully. I am interested in the fundamental biology of gene regulation: when, how and why genes are turned on and off. We try to understand the mechanisms underlying gene regulation, using computational analyses of genomic datasets. This can provide new insights into human evolution and help us interpret disease processes with aberrant regulation, such as cancers and developmental disorders.


Research Programme

Colin Semple research group


Professor Colin Semple Group Leader
Dr Stuart Aitken    Bioinformatician
Dr Tracy Ballinger  Bioinformatician
Dr Jose Campos Parada Institute of Genetics and Cancer Staff Bioinformatician
Dr Ailith Ewing UKRI Research Fellow
Dr Philippe Gautier  Bioinformatician
Mr Graeme Grimes Bioinformatician
Dr Mihail Halachev  NHS/Institute of Genetics and Cancer Translational Bioinformatician
Dr Vera Kaiser  Bioinformatician
Dr Alison Meynert Institute of Genetics and Cancer Bioinformatics Core Manager

Stuart Brown

PhD student
Toby Gurran PhD student
Neil Robertson PhD student

Dr Elvina Gountouna

Institute of Genetics and Cancer Research Data Manager



  • Professor Wendy Bickmore, MRC Human Genetics Unit
  • Professor Malcolm Dunlop, MRC Human Genetics Unit
  • Professor David Fitzpatrick, MRC Human Genetics Unit
  • Professor Chris Haley, MRC Human Genetics Unit
  • Professor Martin Taylor, MRC Human Genetics Unit
  • Dr Nicola Crosetto, Karolinska Institute, Sweden
  • Professor Charlie Gourley, Cancer Research UK Edinburgh Centre
  • Professor Piero Carninci, RIKEN  Center for Life Science Technologies, Japan

Partners and Funders

Scientific Themes

Medical Genomics, Bioinformatics, Transcriptomics, Epigenomics

Technology Expertise

Computational Biology