As a bioinformatician with a background in both biochemistry and software development it is the role of Dr Robin Palfreyman to support the group, the wider university community and external clients with their bioinformatics requirements. He is responsible for the analysis, manipulation, interpretation and integration of a variety of large datasets such as omics related data including genomic and transcriptomic Next-Generation Sequencing. In addition he involved in the process of genome annotation and the construction of genome scale models for a wide range of different organisms. Overall Dr Palfreyman enables those he works with to gain a better understanding of the organism they are studying thus allowing them to engineer their processes of interest.

Key Publications

Marcellin, Esteban, Behrendorff, James B., Nagaraju, Shilpa, DeTissera, Sashini, Segovia, Simon, Palfreyman, Robin W., Daniell, James, Licona-Cassani, Cuauhtemoc, Quek, Lake-ee, Speight, Robert, Hodson, Mark P., Simpson, Sean D., Mitchell, Wayne P., Kopke, Michael and Nielsen, Lars K. (2016)

Low carbon fuels and commodity chemicals from waste gases-systematic approach to understand energy metabolism in a model acetogen.
Green Chemistry, 18 10: 3020-3028.

McQualter RB, Bellasio C, Gebbie LK, Petrasovits LA, Palfreyman RW, Hodson MP, Plan MR, Blackman DM, Brumbley SM, Nielsen LK. (2016)
Systems biology and metabolic modelling unveils limitations to polyhydroxybutyrate accumulation in sugarcane leaves; lessons for C4 engineering.
Plant Biotechnol J. 2016 Feb;14(2):567-80.
doi: 10.1111/pbi.12399.

Brennan, Timothy C. R., Williams, Thomas C., Schulz, Benjamin L., Palfreyman, Robin W., Kroemer, Jens O. and Nielsen, Lars K. (2015)
Evolutionary engineering improves tolerance for replacement jet fuels in Saccharomyces cerevisiae.
Applied and Environmental Microbiology, 81 10: 3316-3325.

Marcellin, Esteban, Mercer, Tim R., Licona-Cassani, Cuauhtemoc, Palfreyman, Robin W., Dinger, Marcel E., Steen, Jennifer A., Mattick, John S. and Nielsen, Lars K. (2013)
Saccharopolyspora erythraea's genome is organised in high-order transcriptional regions mediated by targeted degradation at the metabolic switch.
BMC Genomics, 14 1: 15.1-15.9.

Dal'Molin, C.G.D., Quek, L.E., Palfreyman, R.W., Brumbley, S.M. and Nielsen, L.K. (2010) 
AraGEM, a Genome-scale reconstruction of the primary metabolic network in arabidopsis.
Plant Physiology, 152 2: 579-589.

Full list of publications available on espace