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Christopher Quince



Associate Professor


WMS - Microbiology and Infection
University of Warwick
Tel: 024 7652 2317

Research Interests

Metagenomics coupled to next generation sequencing has transformed our understanding of the microbial world. It has allowed us to directly determine community structure and function in situ from the DNA of the organisms present. This is revolutionising microbial ecology. My research consists of the development of improved statistical and bioinformatics tools for interpreting this sequence data. These tools exploit advanced methods from machine learning and Bayesian statistics. I work on both 16S rRNA gene amplicon data, having developed the AmpliconNoise algorithm for error removal from 454 pyrosequenced amplicons ( and shotgun metagenomics for example the CONCOCT algorithm for automated genome extraction from shotgun metagenome reads ( In addition, I also develop Bayesian statistical models for interpreting microbial community structure addressing questions such as are enterotypes real features of the human gut microbiome and are microbial communities neutrally assembled? In collaboration with numerous groups around the world I apply these methods to both environmental and host-associated microbial communities. For instance, with Dr Konstantinos Gerasimidis (Nutrition Group - University of Glasgow -- and Dr Nick Loman (University of Birmimgham - I have resolved the changes in gut microbiota composition of children with Crohn's disease during treatment with exclusive enteral nutrition. This could potentially lead to improved therapeutic strategies. With Dr Gavin Collins (University of Galway - I study the structure of anaerobic digestion reactor communities. More efficient AD digesters will provide more effective biogas production from wastewater, reducing pollution and providing a renewable energy resource. I am currently employed as an MRC Principal Research Fellow as part of the Cloud Computing for Microbial Bioinformatics (CLIMB) consortium (


View Christopher's publications on Google Scholar.

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