加速：生命科学 - 竞相寻找治疗方法，TGEN 使用 DDN® 存储更快地揭示疾病的遗传成分
公司规模
1,000+
地区
- America
国家
- United States
产品
- DDN EXAScaler™ File Storage system
- DDN SFA storage system
- Lustre® File System
- SOLiD sequencers
- Dell PowerEdge servers
技术栈
- High Performance Computing (HPC)
- 10 Gigabit network interface
- Double fat tree DDR InfiniBand network
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 基础设施即服务 (IaaS) - 云存储服务
- 基础设施即服务 (IaaS) - 混合云
适用行业
- 医疗保健和医院
- 生命科学
适用功能
- 产品研发
用例
- 边缘计算与边缘智能
- 预测性维护
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
转化基因组学研究所 (TGen) 是一家领先的基因组学研究机构，致力于通过对遗传学的理解和应用来开发早期诊断和有效治疗策略。通过利用最先进的基因组测序技术，TGen 在理解人类多种疾病和病症的根本生物学效应方面处于领先地位。自成立以来，TGen 的使命一直是利用遗传学来推动预防、诊断和治疗疾病的决策和创新。自 2002 年以来，TGen 的 IT 部门一直在通过为其用户社区利用新的创新技术和方法来加速发现过程。
挑战
TGen 是一家领先的基因组学研究机构，其传统 NAS 系统面临挑战，该系统功能不足，无法处理并发作业，否则性能将低于可接受水平。扩展 NAS 性能既昂贵又耗时。此外，数据增长正在加速，使现有基础设施难以为继。基因组学是从生物体基因组中提取知识的技术，是一项复杂且数据密集型的任务。基因测序仪器生成的数据量和准确性逐年提高，令人难以置信。随着这些机器的生产效率提高，基因测序、组装和分析的价格下降，从而实现了新的诊断方法和疾病治疗。然而，所有这些基因数据都导致如何将它们组装成有意义的数据以便进行分析发生了巨大变化。
解决方案
TGen 与亚利桑那州立大学先进计算中心 (A2C2) 接洽，共同开发一流的 HPC 平台，以满足大学和 TGen 的需求。该解决方案基于传统的 HPC 系统 Saguaro，该系统目前由 5,000 多个处理器核心组成，可提供超过 40 万亿次浮点运算能力，基于 SFA12K-40™ 存储引擎的 400TB EXAScaler Lustre 暂存空间，11 TB 聚合 RAM，1.5 GB 聚合 L2 缓存，以及双胖树 DDR InfiniBand 网络。通过在 A2C2 部署 EXAScaler，并利用两个设施之间的 10 Gigabit 网络接口，TGen 能够消除其传统集群 NAS/NFS 系统造成的组装瓶颈。TGEN 和 ASU 现在已经为当前和未来的研究制定了可扩展的高性能存储解决方案。
运营影响
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Hospital Inventory Management
The hospital supply chain team is responsible for ensuring that the right medical supplies are readily available to clinicians when and where needed, and to do so in the most efficient manner possible. However, many of the systems and processes in use at the cancer center for supply chain management were not best suited to support these goals. Barcoding technology, a commonly used method for inventory management of medical supplies, is labor intensive, time consuming, does not provide real-time visibility into inventory levels and can be prone to error. Consequently, the lack of accurate and real-time visibility into inventory levels across multiple supply rooms in multiple hospital facilities creates additional inefficiency in the system causing over-ordering, hoarding, and wasted supplies. Other sources of waste and cost were also identified as candidates for improvement. Existing systems and processes did not provide adequate security for high-cost inventory within the hospital, which was another driver of cost. A lack of visibility into expiration dates for supplies resulted in supplies being wasted due to past expiry dates. Storage of supplies was also a key consideration given the location of the cancer center’s facilities in a dense urban setting, where space is always at a premium. In order to address the challenges outlined above, the hospital sought a solution that would provide real-time inventory information with high levels of accuracy, reduce the level of manual effort required and enable data driven decision making to ensure that the right supplies were readily available to clinicians in the right location at the right time.
Case Study
Gas Pipeline Monitoring System for Hospitals
This system integrator focuses on providing centralized gas pipeline monitoring systems for hospitals. The service they provide makes it possible for hospitals to reduce both maintenance and labor costs. Since hospitals may not have an existing network suitable for this type of system, GPRS communication provides an easy and ready-to-use solution for remote, distributed monitoring systems System Requirements - GPRS communication - Seamless connection with SCADA software - Simple, front-end control capability - Expandable I/O channels - Combine AI, DI, and DO channels
Case Study
Driving Digital Transformations for Vitro Diagnostic Medical Devices
Diagnostic devices play a vital role in helping to improve healthcare delivery. In fact, an estimated 60 percent of the world’s medical decisions are made with support from in vitrodiagnostics (IVD) solutions, such as those provided by Roche Diagnostics, an industry leader. As the demand for medical diagnostic services grows rapidly in hospitals and clinics across China, so does the market for IVD solutions. In addition, the typically high cost of these diagnostic devices means that comprehensive post-sales services are needed. Wanteed to improve three portions of thr IVD:1. Remotely monitor and manage IVD devices as fixed assets.2. Optimizing device availability with predictive maintenance.3. Recommending the best IVD solution for a customer’s needs.
Case Study
HaemoCloud Global Blood Management System
1) Deliver a connected digital product system to protect and increase the differentiated value of Haemonetics blood and plasma solutions. 2) Improve patient outcomes by increasing the efficiency of blood supply flows. 3) Navigate and satisfy a complex web of global regulatory compliance requirements. 4) Reduce costly and labor-intensive maintenance procedures.
Case Study
Harnessing real-time data to give a holistic picture of patient health
Every day, vast quantities of data are collected about patients as they pass through health service organizations—from operational data such as treatment history and medications to physiological data captured by medical devices. The insights hidden within this treasure trove of data can be used to support more personalized treatments, more accurate diagnosis and more advanced preparative care. But since the information is generated faster than most organizations can consume it, unlocking the power of this big data can be a struggle. This type of predictive approach not only improves patient care—it also helps to reduce costs, because in the healthcare industry, prevention is almost always more cost-effective than treatment. However, collecting, analyzing and presenting these data-streams in a way that clinicians can easily understand can pose a significant technical challenge.
