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Google Cloud Platform > 实例探究 > 加速基因组研究:苏黎世联邦理工学院的 DNA 搜索引擎由 Google Cloud 提供支持
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ETH Zurich: Deciphering life with the largest-ever DNA search engine

技术
  • 分析与建模 - 机器学习
  • 基础设施即服务 (IaaS) - 云计算
适用行业
  • 教育
  • 生命科学
适用功能
  • 采购
  • 产品研发
用例
  • 施工管理
  • 基础设施检查
服务
  • 云规划/设计/实施服务
  • 数据科学服务
挑战
苏黎世联邦理工学院生物医学信息学 (BMI) 小组面临的挑战是大规模 DNA 测序数据的可访问性和处理能力有限。
关于客户
该客户是苏黎世联邦理工学院的 BMI Group,是一个研究团队,将医学、生物学和计算机科学相结合,分析基因组和医学数据集并优化基因组疾病的治疗方法。
解决方案
BMI Group实施的解决方案是利用Google Cloud来存储和处理测序数据,从而实现更快的访问和高效的处理。
运营影响
  • The switch to Google Cloud has significantly increased the efficiency of the BMI Group's operations. The team no longer has to limit its operations to smaller sequencing datasets and can now process petabytes of data in a feasible time frame. The elasticity of cloud computing has allowed for optimal parallelization of compute power, increasing the throughput. The team has also built a custom server infrastructure, adding resilience to their operations and minimizing the risk of losing progress due to technical failures or errors. The cost-effective dynamism of Google Cloud has expanded the scope of future projects for the BMI Group, allowing them to readjust the setup to their needs and creating new opportunities. The success of this project could transform the field of bioinformatics, changing the way we engage with DNA.

数量效益
  • The team is now more than 10 times faster in processing data.

  • At peak times, the team is using 4,000 CPUs and 15 terabytes of RAM to process all this data.

  • The ETH team cut the overall compute cost by 75%.

相关案例.

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