Dr Josselin Noirel
Tel: +44 (0)114 222 7582
Fax: +44 (0)114 222 7501
Chemical and Biological Engineering
The University of Sheffield
Sir Robert Hadfield Building
- Quantitative proteomics and high-throughput omics
- Bioinformatics and machine learning
- Systems biology and data intregration
- Synthetic biology and bioengineering
My original background is multidisciplinary but evolved into my associating biology and computer science (ENS Paris) before undertaking an MSc on genome analysis and molecular modelling at the Université Pierre et Marie Curie in Paris. I became interested in modelling the process through which simple proteins can fold before using structural modelling to model evolutionary fitness and phenotypic networks for my PhD at the École polytechnique, which I completed in 2006.
I then took up a postdoctoral position in Sheffield working on the tools that were needed to characterise (using quantitative proteomics) hydrogen-producing, synthetic Synechocystis strains that were designed as part of the BiomodularH2 project. This turned into a fantastic opportunity for me to learn about new methods that could be directly applied to increase the throughput of the ChELSI facilities (Chemical Engineering/Life Sciences Interface) and the robustness of the results obtained here.
I was appointed as a ChELSI lecturer in 2010. My research interests lie in data integration of various omics datasets and in bioengineering through modelling or the biological processes at the systems level.
Noirel J, Simonson T. Neutral evolution of proteins: The superfunnel in sequence space and its relation to mutational robustness. J Chem Phys. 2008 129(18):185104.
Pandhal J, Noirel J, Wright PC, Biggs CA. A systems biology approach to investigate the response of Synechocystis sp. PCC6803 to a high salt environment. Saline Systems. 2009 5:8.
Ow SY, Salim M, Noirel J, Evans C, Rehman I, Wright PC. iTRAQ underestimation in simple and complex mixtures: “the good, the bad and the ugly”. J Proteome Res. 2009 8(11):5347-5355.
Noirel J, Ow SY, Sanguinetti G, Wright PC. Systems biology meets synthetic biology: a case study of the metabolic effects of synthetic rewiring. Mol Biosyst. 2009 5(10):1214-1223
Noirel J et al. Methods in quantitative proteomics: setting iTRAQ on the right track. Curr Proteomics. 2011 8(1):17-30.
- CPE6005 Biosystems Engineering and Computational Biology (MSc BBE)
- I am involved in CPE6002 Research Methods, where I teach an optional module ‘Numerical Methods’ about Mathematica
- I am involved in CPE6011 Research Project induction for BBE students, where I teach Quantitative Proteomics