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This is the author’s version of the work. It is posted here by permission of the AAAS for personal use, not for redistribution. The definitive version was published in Science on 26/9/14 in volume 345, number 6204, DOI: 10.1126/science.1251033. This version will be under embargo until the 26th of March 2015.
Advances in genomic technologies in the last decade have revolutionised the field of medicine, especially in cancer, by producing a large amount of genetic information, often referred to as Big Data. The identification of genetic predisposition changes, prognostic signatures, and cancer driver genes, which when mutated can act as genetic biomarkers for both targeted treatments and disease monitoring, has greatly advanced our understanding of cancer. However, there are still many challenges, such as more sophisticated analysis tools and higher processing capacity, along with cheaper storage and faster and more efficient data transfer, that must be overcome before personalised medicine finally becomes a reality.
This is the author accepted manuscript. The final version is available from the American Psychological Association via http://dx.doi.org/ http://dx.doi.org/10.1037/a0039116
This is the final version of the article. It first appeared from Oxford University Press via https://doi.org/10.1093/gbe/evw002
Junior Research Fellowship at Peterhouse, Cambridge
The project was funded in part by the Biotechnology and Biological Sciences Research Council (BB/HO1697X/1). S.E.H. was supported by a Nigel Groome PhD Studentship at Oxford Brookes University. S.E.H. was awarded a practical skills grant from the Society for Endocrinology and a travel grant from the Physiological Society to fund work at the University of Arizona.
Ink-jet printing of nano-metallic colloidal fluids on to porous media such as coated papers has become a viable method to produce conductive tracks for low-cost, disposable printed electronic devices. However, the formation of well-defined and functional tracks on an absorbing surface is controlled by the drop imbibition dynamics in addition to the well-studied post-impact drop spreading behavior. This study represents the first investigation of the realtime imbibition of ink-jet deposited nano-Cu colloid drops on to coated paper substrates. In addition, the same ink was deposited on to a non-porous polymer surface as a control substrate. By using high-speed video imaging to capture the deposition of ink-jet drops, the time-scales of drop spreading and imbibition were quantified and compared with model predictions. The i...
The Carnegie Trust for the Universities of Scotland The Cambridge Trust