UCL Biosciences Big Data

生物科学的许多研究正在从实验工作过渡到计算分析。这涉及要分析的数据量和分析数据的计算能力的大幅增加，以及计算机网络将数据从收集仪器转移到用于分析数据的计算机群，然后再转移到数据档案的速度和能力。伦敦大学学院是世界领先的专注于研究的大学之一。伦敦大学学院生物科学分部承担着越来越多涉及大数据的研究。这包括大规模的生物和细胞成像以及DNA测序，其中大部分由BBSRC和其他英国研究机构资助。该提案旨在在伦敦大学学院生物科学学院内建立一个新的计算基础设施，将其数据生成小组与增强的计算和归档设施联系在一起。这包括安装一个高速网络，能够将高达10 GB/S的数据从数据采集仪器传输到伦敦大学学院计算机科学和研究计算系管理的计算机集群和数据档案。它还包括购买700多台用于数据分析的计算机和超过2PB的磁盘存储，其中包括连接到计算集群的高速磁盘和用于存档的速度较低的廉价磁盘。网络、计算和存储的这种组合将使UCL生物科学公司在未来4年内成长为英国卓越的研究中心。

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.