IGC-Eddie3 high performance storage arrays

IGC-Eddie3高性能存储阵列

• 批准号: MR/X013677/1
• 负责人: Martin Taylor
• 金额: $ 50.21万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FX013677%2F1
• 关键词: IGC; Eddie3; performance; storage; arrays

We combine the latest computational and experimental technologies to investigate how our genomes work to control the function of molecules, cells and tissues in people and populations. For more than half a century our research has been dedicated to understanding human genetic disease. Today we continue to apply our clinical and scientific expertise, harnessing the power of complex data, to improve health, and the lives of patients and their families. The IE3 high-performance computing cluster provides the analytic power to analyse rich and complex data that underpins most of our research and discoveries, for example in the mechanisms that drive cancer progression. The storage arrays requested here are needed so that data can be moved to computer processors and results received back quickly enough to efficiently make use of the computing power available and to be able to analyse the large quantities of data needed for these studies - for example the analysis of hundreds or thousands of whole genome sequences.

我们结合最新的计算和实验技术来研究我们的基因组是如何控制人类和群体的分子、细胞和组织的功能的。半个多世纪以来，我们的研究一直致力于了解人类遗传疾病。今天，我们继续运用我们的临床和科学专业知识，利用复杂数据的力量，改善健康，改善患者及其家属的生活。IE3高性能计算集群提供了分析能力来分析丰富而复杂的数据，这些数据支撑着我们的大多数研究和发现，例如驱动癌症进展的机制。这里所要求的存储阵列是必要的，这样数据就可以转移到计算机处理器上，结果就可以足够快地接收回来，从而有效地利用可用的计算能力，并能够分析这些研究所需的大量数据——例如分析数百或数千个全基因组序列。

项目成果

The contribution of evolutionarily volatile promoters to molecular phenotypes and human trait variation.

• DOI: 10.1186/s13059-022-02634-w
• 发表时间: 2022-04-04
• 期刊: Genome biology
• 影响因子: 12.3
• 作者: Young RS;Talmane L;Marion de Procé S;Taylor MS
• 通讯作者: Taylor MS