Professor Rainer Breitling

DrRerNat

Summary

Photograph of Professor Rainer Breitling

Contact details:

Telephone: +44 (0)161 306 5117
Email: rainer.breitling@manchester.ac.uk
Website(s): Google Scholar profile
ResearchGate profile

Research interests

The Breitling group is interested in using computational approaches to understand complex biological systems, ranging from microbes to man. Two main strategies dominate our work: on the one hand, we develop methods to interpret “molecular profiles”, e.g. the global patterns of gene expression or the abundance of small molecules (metabolites) in biological samples. On the other hand, we develop quantitative models to describe and predict the behaviour of cells, e.g. after drug treatment or genetic manipulation.

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Highlight publications

  • Achcar, F., Kerkhoven, E., Bakker, B., Barrett, M. & Breitling, R (2012). Dynamic modelling under uncertainty: The case of Trypanosoma brucei energy metabolism. PLoS Computational Biology, 8(1), 1002352. eScholarID:169619 | DOI:10.1371/journal.pcbi.1002352
  • Medema, M., Van Raaphorst, R., Takano, E. & Breitling, R (2012). Computational tools for the synthetic design of biochemical pathways. Nature Reviews Microbiology, 10(3), 191-202. eScholarID:169654 | DOI:10.1038/nrmicro2717
  • Scheltema, R., Jankevics, A., Jansen, R., Swertz, M. & Breitling, R (2011). PeakML/mzMatch: A File Format, Java Library, R Library, and Tool-Chain for Mass Spectrometry Data Analysis. Analytical Chemistry, 83(7), 2786-2793. eScholarID:169667 | DOI:10.1021/ac2000994
  • Medema, M., Blin, K., Cimermancic, P., De Jager, V., Zakrzewski, P., Fischbach, M., Weber, T., Takano, E. & Breitling, R (2011). antiSMASH: rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences. Nucleic Acids Research, 39(Suppl. 2), W339-W344. eScholarID:169641 | DOI:10.1093/nar/gkr466

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