In the Davis lab we use bioinformatic analysis across our research themes as a powerful and flexible tool. This allows us to handle and extract information from massive datasets in a systematic and efficient manner, that would otherwise be almost impossible. We also have dedicated bioinformatics projects that work off data generated by sequencing-based lab projects. We are currently collaborating with the Castello lab investigating  the role of RNA-binding proteins in neural stem cell differentiation, and this project is led by Aino Jarvelin.

Co-workers: MK Thompson, Aino Jarvelin. 

Above: An example of the kind of dataset generated that requires bioinformatic analysis. 

Contact Us

Biochemistry Dept.
University of  Oxford,
South Parks Rd.,
Oxford, ​OX1 3QU



Aino I Järvelin, Marko Noerenberg, Ilan Davis, and Alfredo Castello (2016). The new (dis)order in RNA regulation. Cell Commun Signal: 14, 9.

Hamilton RS, Davis I (2011) . Identifying and searching for conserved RNA localisation signals.Methods Mol Biol. ;714:447-66. doi: 10.1007/978-1-61779-005-8_27.

Hamilton RS, Parton RM, Oliveira RA, Vendra G, Ball G, Nasmyth K, Davis I (2010). ParticleStats: open source software for the analysis of particle motility and cytoskeletal polarity. Nucleic Acids Res. Jul;38(Web Server issue):W641-6. doi: 10.1093/nar/gkq542. Epub 2010 Jun 11.