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 | The Workflow Driven Lab Many companies have recognized that their internal business units operate as a set of business processes. These business processes are also called workflows. Modern Laboratories are highly suitable to this workflow driven approach. In fact, the lab environments successful operation is predicated on the successful definition and adherence to workflows. It could be said that a modern laboratory is an advanced process implementing construct. It is important that laboratory management software mirrors the process driven nature of the lab thereby increasing automation, shortening learning curves, improving data quality and increasing lab throughput. - The modern laboratory is an advanced workflow implementing construct
- Laboratory Management Software solutions should fully embrace and mirror this process driven approach
- Effective information management of workflow processes with a LIMS results in increased automation, reduced training curves, better data quality and increased lab throughput
|  | Curing Life Sciences Data Management Challenges with Scalable Storage High performance storage systems are a given to meet today’s life sciences R&D computational challenges. But with the explosive growth in data produced by next-gen lab equipment, scalability and long-term data management issues must also be addressed. Read this paper to learn: - Why new lab equipment will impact R&D workflows
- How to avoid the hidden costs of long-term data management
- What approach you should take to accommodate today’s data while having the flexibility to scale to meet future demands.
|  | StorNext 4.0: Technical Product Brief
Proven in the world’s most data intensive industries, Quantum StorNext is a scalable, high-performance file system which allows data sharing across Linux, Mac, Unix, and Windows operating systems and manages data in enterprise storage environments. In this Technical Brief you'll learn: - How a high-performing file system can accelerate your business
- How to simplify your data management
- How a tiered storage approach can save you money
|  | Protect Your Scientific Intellectual Property: Proof of Lab Informatics Data Authenticity is Your Best Legal Defense As a bio-technology or life sciences organization, your formulas, treatments and research and discoveries are the “lifeblood” of your business. But if you aren't protecting the integrity of your scientific data in your lab informatics systems, you risk losing IP ownership, revenue and consequently your business if you can't prove time-of-creation and data authenticity. Learn how you can implement simple, cost-effective and automated controls to protect your scientific intellectual property. Consider: IP protection requirements in bio-pharma and other science-oriented industries can extend out 20, 30, 40 or more years Most electronic lab management solutions include generic authenticity controls, so how "legally defensible" is yours? Only standards-compliant, independent controls can future-proof your approach to long-term IP integrity protection and authenticity. Learn more - get the free whitepaper now
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The Workflow Driven Lab Many companies have recognized that their internal business units operate as a set of business processes. These business processes are also called workflows. Modern Laboratories are highly suitable to this workflow driven approach. In fact, the lab environments successful operation is predicated on the successful definition and adherence to workflows. It could be said that a modern laboratory is an advanced process implementing construct. It is important that laboratory management software mirrors the process driven nature of the lab thereby increasing automation, shortening learning curves, improving data quality and increasing lab throughput. - The modern laboratory is an advanced workflow implementing construct
- Laboratory Management Software solutions should fully embrace and mirror this process driven approach
- Effective information management of workflow processes with a LIMS results in increased automation, reduced training curves, better data quality and increased lab throughput
Curing Life Sciences Data Management Challenges with Scalable Storage High performance storage systems are a given to meet today’s life sciences R&D computational challenges. But with the explosive growth in data produced by next-gen lab equipment, scalability and long-term data management issues must also be addressed. Read this paper to learn: - Why new lab equipment will impact R&D workflows
- How to avoid the hidden costs of long-term data management
- What approach you should take to accommodate today’s data while having the flexibility to scale to meet future demands.
StorNext 4.0: Technical Product Brief
Proven in the world’s most data intensive industries, Quantum StorNext is a scalable, high-performance file system which allows data sharing across Linux, Mac, Unix, and Windows operating systems and manages data in enterprise storage environments. In this Technical Brief you'll learn: - How a high-performing file system can accelerate your business
- How to simplify your data management
- How a tiered storage approach can save you money
Predict or Perish! Shaping the Practices of Clinical Trials
Sponsored by: DecisionView
Predictive Analytics are a key differentiator in running your clinical trials successfully through 2010 and beyond. They will help you to optimize your patient enrollment, reduce your clinical operations costs and minimize your financial liability in the clinical supply chain. In this session, you will:
• Learn what predictive analytics are and what they are not
• Understand why you need predictive analytics to run your clinical trials, and
• Explore how predictive analytics will shape the future of clinical trials
Download Now.
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The University of Washington Department of Genome Sciences is seeking a LINUX SYSTEMS ENGINEERING MANAGER to lead a team in a diverse scientific computing environment that includes multiple HPC systems, petascale storage, and custom application servers. Apply online at UW Hires for req number 61505. http://www.washington.edu/admin/hr/jobs/
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