UCL Biosciences Big Data

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Much research in the biosciences is transitioning away from experimental work towards computational analysis. This involves a massive increase in the volume of data to be analysed and in the computational power to analyse it, and in the speed and capacity of computer networks to move data from the collection instruments to the compute clusters used to analyse it and then onto data archives. University College London is one of the leading research-focused univsesities in the world. The UCL division of Biosciences undertakes an increasing amoutn of research involving Big Data. This includes large-scale biological and cellular imaging and DNA sequencing, much of it funded by the BBSRC and other UK research organisations.The proposal aims to put in place a new computational infractructure within UCL Biosciences that links its data generation groups together with augemted compute and archive facilities. This involves installing a high-speed network capable of transferring up to 10 Gb/s from data collection instruments to the computer clusters and data archives managed in the UCL Depts of Computer Science and Research Computing. It also involves purchasing over 700 computers for data analysis and over two petabytes of disk storage, in a combination of high-speed disk attach to thte compute cluster and lower speed cheaper disk for archiving. This combination of network, compute and storage will position UCL Biosciences to grow as a UK centre of research excellence over the next 4 years.