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The search for gene-gene interactions in colorectal cancer: Using HPC to overcome computational barriers

机译:寻找结肠直肠癌的基因基因相互作用:使用HPC克服计算障碍

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UK National Cancer Registration data indicates that some 35,000 people each year are diagnosed with colorectal cancer (cancer of the large bowel and rectum) and 16,000 die from the disease. The Colon Cancer Genetics Group (CCGG) at the University of Edinburgh investigates the relationship between genetic markers and colorectal cancer by using a significant part (560, 000 markers, 1000 cases, 1000 controls) of the biggest genotypic data set for large bowel cancer. However, the analysis is virtually intractable for a PC-based researcher (theoretical runtime of 400 days; 3.3TB of memory and hard disk space). CCGG collaborated with EPCC, the supercomputing centre of the University of Edinburgh, to optimise and parallelise the analysis code. We achieved a runtime of approximately 5 hours on 512 processor cores on HECToR, the national supercomputer of the UK.The use of EPCC's skills and HPC resources has enabled CCGG to explore new territory for genetic marker analysis in colorectal cancer.
机译:英国国家癌症登记数据表明,每年约有35,000人被诊断出患有结直肠癌(大肠和直肠癌的癌症)和来自疾病的16,000个死亡。爱丁堡大学的结肠癌遗传学集团(CCGG)通过使用大型肠癌最大基因型数据集的重要部分(560,000份,1000例,1000例,1000例)来研究遗传标志物和结肠直肠癌之间的关系。然而,分析对于基于PC的研究人员来说几乎是棘手的(理论运行时间为400天; 3.3TB的内存和硬盘空间)。 CCGG与EPCC,爱丁堡大学超级计算中心协作,优化和并行分析代码。我们在英国国家超级计算机上的512个处理器核心上实现了大约5小时的运行时间。使用EPCC技能和HPC资源的使用使CCGG能够探索结直肠癌中的遗传标记分析的新领域。

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