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.
University of Oxford,
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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.